We are seeking a highly skilled and motivated Computer Vision Engineer with 3-4 years of experience to join our team. The ideal candidate will have a strong background in image processing, deep learning, and machine learning techniques, along with hands-on experience in developing and deploying computer vision applications. Key Responsibilities: Design, develop, and optimize computer vision algorithms for tasks such as object detection, tracking, segmentation, depth estimation, and activity recognition. Implement and train deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV. Process and analyze large-scale image and video datasets to extract meaningful insights. Develop and optimize deep learning pipelines, including dataset preparation, model training, evaluation, and deployment. Work with multiple camera inputs and multimodal data for real-time applications. Collaborate with software engineers and data scientists to integrate computer vision models into production environments. Research and implement the latest advancements in computer vision and deep learning. Debug and troubleshoot issues in vision-based applications, optimizing for accuracy and performance. Work on AI infrastructure, machine learning accelerators, and on-device optimization. Required Qualifications: B.Tech in Computer Science, Electrical Engineering, Electronics, or a related field. Hands-on experience developing learning algorithms for computer vision tasks such as object detection, object tracking, segmentation, optical flow, and multi-view geometry. Strong understanding of deep learning architectures, representational learning, and domain adaptation. Ability to train, debug, and deploy deep learning models, iterating on failure characterization and model improvement. Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, and TensorRT. Experience working with multiple input sources such as cameras, LiDAR, and embedded controllers. Hands-on experience with MLOps tools and methods is a plus. Familiarity with AI infrastructure, machine learning accelerators, and on-device optimization. Strong programming skills with experience in C++, Python, or C#. Experience with version control tools such as Git and development in Linux environments. Highly motivated individual with a strong work ethic, the ability to work independently, and adaptability to a fast-paced environment. Preferred Qualifications: Experience in 3D computer vision, SLAM, or LiDAR processing. Knowledge of adversarial and generative models. Exposure to hardware acceleration and embedded AI deployment. Strong understanding of software development best practices and performance optimization. Interested? Apply now or drop your resume at apin.lal@gadgeon.com

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engineers and data scientists in developing enterprise-level AI/ML solutions at a fast pace, ensuring that solutions align with both business and technical requirements. Collaborate with business stakeholders to understand the business processes, define AI-driven features, and ensure smooth integration of machine learning models into the existing technology stack. Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments. Guide the team in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and lending. Required Skills 5+ years of experience in developing and deploying AI/ML solutions, with at least 2 years of experience in enterprise software development. Expertise in Deep Learning frameworks like TensorFlow, PyTorch, and Keras. Strong proficiency in Java, Python, and related programming languages. In-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT). Experience with vision-based algorithms and their application in real-world financial problems. Knowledge of business processes in the lending domain and transaction banking. Proven track record of building scalable and robust AI solutions in enterprise environments. Strong problem-solving skills, with the ability to adapt AI/ML approaches to rapidly evolving business

Key Skills: DAO - AI/ML, Automation, Python, big query, Project Management, Agile, SDLC,JAVA, SQL Role & responsibilities 8+ years of experience in Data Science / Preferable in Automobile Engineering Domain SKILLS: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes

Desired candidate profile 8-12 years of experience as a Data Scientist or related field with expertise in machine learning algorithms. Strong proficiency in programming languages such as Python with knowledge of popular libraries like NumPy, Pandas, Matplotlib etc. .with experience in developing scalable and efficient code for AI/ML workflows. Experience working on big data processing technologies like Spark/Hadoop/Azure Databricks etc. . Excellent problem-solving skills with ability to work independently on projects requiring strong analytical thinking. Proficiency in Pandas and PySpark for data preprocessing Experience with cloud platforms such as Databricks, Azure ML, AWS SageMaker, or equivalent services for managing ML workflows, and AI/ML engineering. Expertise in working with API's Python REST APIs and Open API for integrating machine learning models and data solutions. Proficient in end-to-end AI/ML lifecycle management, including MLOps and LLMOps, for seamless model development, deployment, monitoring, and retraining. Roles and Responsibilities: Develop and implement data science solutions using Python, AI, Machine Learning, ML, Deep Learning techniques. Collaborate with cross-functional teams to design and develop predictive models for complex business problems. Design and maintain large-scale data pipelines to extract insights from structured and unstructured data sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations in datasets. Communicate technical results effectively through reports, presentations, and visualizations.

Role & responsibilities The Data Analytics Engineer role will focus on requirements and architecting the solutions based on requirements. This role shall engage with project teams to plan, setup and execute requirements capture and management capabilities. Required Technical Skills/Education: -Energy management/control algorithms development utilizing thermal and/or electrification energy systems simulation models or hardware setup Familiarity and experience designing control algorithms using heuristic, domain-expertise inspired rules or optimization/predictive control algorithms or Data Driven, AI/ML (Artificial Intelligence, Machine Learning) methods Proficiency in developing, testing energy management/control algorithms in Python language and local/cloud based computing environments (preferably AWS cloud) Working knowledge of version control systems such as Git Preferred candidate profile Perks and benefits

Company: Maxima IT Consulting India Pvt Ltd Fulltime Permanent role Position Title: Data Scientist What You'll Need: Bachelors Degree in Industrial & Systems Engineering, Business, Supply Chain, Statistics, Decisions Sciences, Finance & Accounting, Computer Science 3+ Years in a Data Scientist , Data Analyst or similar role, Preferably with Supply Chain or Logistics background Strong foundation in machine learning models and building data pipelines Programs: Fluent in SQL, Python. Strong Excel fundamentals, experience with any cloud development platform (AWS, GCP, Azure) Ability to work in a fast-paced environment and collaborate effectively with engineers and product managers Team-player with a can-do attitude Preferred Qualifications Masters Degree in Data Science, Analytics, Engineering, Computer Science, or other related field Experience with postgres, dbt and CI/CD processes to transform data Experience with BI tools like Tableau or similar Startup and/or supply chain experience

Candidate should be an having an Expertise knowledge in AI / MLand should of 8 + years of Experience in the same. Strong Python Skills. Developing Machine Learning Models: Designing, training, and optimizing models using algorithms such as decision trees, neural networks, and ensemble methods to solve business or research problems. Data Preprocessing and Feature Engineering: Cleaning, transforming, and selecting relevant features from raw data to improve model performance and ensure the quality of input data for training. Model Evaluation and Validation: Using metrics like accuracy, precision, recall, F1-score, and cross-validation techniques to evaluate the performance of machine learning models and fine-tune them.

AI Full stack Engineer: ( In Short ) AI + Backend Engineering will be 70% of the daily task - AI (LLM modeling, Data Preparation, AWS Model configuration, etc..) + Python for writing APIs Frontend Engineering will be 20% of the daily task for creating user interfaces for AI/backend output - Angular / React + HTML with CSS AWS side the candidate will be doing 10% of the daily task for managing or troubleshooting AWS infrastructure and should be able to contribute to setting up CI/CD pipelines. Knowledge of Terraform will be a plus, but if it's not there then Hurix to train the resource within a month's time. About JD: Minimum 5 years of relevant(full stack) experience in product or enterprise software development. Strong hands-on experience on the full software stack, including Frontend, Backend / API, Databases, and Infrastructure Proven technical abilities in software development, testing, monitoring, performance tuning, and deployment pipelines Strong technical communication and collaboration skills Strong knowledge of generative AI, with hands-on experience in applying LLM frameworks such as LangChain and others. Practical knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities. Passion for technology and commitment to staying current on AI advancements Focus on application quality and testing practices, such as unit integration, e2e testing, code coverage analysis, and automated software inspection. Strong sense of customer empathy and a commitment to delighting customers Ability to work across functional and domain boundaries to deliver software on time and with quality Technology Stack: Back-end: Python, Go, Node.js Front-end: TypeScript, Angular/React (any) AI services such as Azure AI Search, Azure OpenAI service , Amazon Bedrock , or similar technologies. Amazon Web Services (AWS): ECS, RDS , Lambda , and many other services CI/CD and Infrastructure: Docker , Terraform , Github , CircleCI, Sonarqube, NewRelic and Datadog Collaboration: JIRA, Confluence , Zoom & Slack Databases: Relational databases such as MySQL and PostgreSQL ; NoSQL databases such as DynamoDB

Roles an Responsibilities : We are seeking a highly experienced Senior SOX Compliance Consultant to lead rigorous audits, establish robust processes, and ensure compliance with Sarbanes-Oxley (SOX) guidelines for a prominent energy and utilities client based in Texas. This role is critical in safeguarding the organizations financial integrity and operational excellence while enabling agility and minimizing business delays. The ideal candidate will have the expertise, diligence, and authority to uphold the highest standards of compliance and security. Audit Leadership: o Conduct stringent SOX audits, ensuring adherence to regulatory requirements and organizational policies. o Identify potential compliance risks and gaps, and provide actionable recommendations for mitigation. Process Development: o Collaborate with stakeholders to define, implement, and monitor processes as per SOX guidelines. o Balance compliance requirements with operational efficiency to prevent delays in business operations. Stakeholder Management: o Act as a trusted advisor to leadership and business units, communicating compliance expectations and findings effectively. o Resolve conflicts by taking a firm but constructive stance to uphold SOX standards. Cybersecurity & Confidentiality: o Maintain strict confidentiality for sensitive information and uphold rigorous cybersecurity measures. o Collaborate with IT teams to ensure that technological controls align with SOX compliance. Technical Insight: o Leverage a technical background to bridge gaps between compliance requirements and IT implementations. o Stay updated on emerging technologies, including AI, to enhance audit and compliance processes. Required Qualifications Bachelors degree in Accounting, Finance, Information Systems, or related field; professional certifications like CPA, CISA, or CIA are a plus. 8+ years of experience in SOX compliance, internal audit, or related fields, preferably in energy or utilities. Proven track record of conducting and managing end-to-end SOX audits. Strong understanding of cybersecurity frameworks and data protection best practices. Technical background with knowledge of programming, AI, or IT systems is highly advantageous. Exceptional communication, negotiation, and stakeholder management skills. Key Competencies Extreme diligence and attention to detail in compliance and security. Ability to take tough stands when needed while fostering an agile and business-friendly environment. Strong analytical and problem-solving skills. High level of integrity, confidentiality, and accountability.

Position Title: Project Manager Position Type: Full Time, Permanent Department: Research and Development Reports to: R&D Manager, Indian Development Centre. Company Background: Cglia is transforming the life sciences industry with our secure, high-performance cloud-based solutions. Our software accelerates drug discovery and development, improving lives through faster delivery of breakthrough treatments. We foster a culture of innovation, continuous learning, and high performance, empowering our employees to make a lasting impact in a rapidly changing industry. At Cglia, you will work alongside passionate professionals, creating products that exceed expectations and contribute to global health and well-being. Job Summary: Cglia is a cutting-edge software development company building highly secure, cloud-based enterprise solutions that accelerate the drug discovery and development process. We are seeking a proactive and results-driven Project Manager to oversee the planning, execution, and delivery of our software products, ensuring quality and timely releases. This role will coordinate across product management, development, and quality assurance teams to prioritize, plan, and execute bug fixes, new product features, and updates. The ideal candidate will demonstrate strong leadership, ensure accountability across teams, handle resistance, and foster a results-driven culture. Responsibilities: Manage the entire project lifecycle for product releases, including bug fixes, new product initiatives (NPI) features, and regular updates, ensuring they meet the highest quality standards and are delivered on schedule. Collaborate with product management, development teams, and quality assurance to ensure feature prioritization, thorough testing, and resolution of issues. Develop and maintain detailed project plans that outline scope, timelines, resources, and dependencies, ensuring clear milestones and deliverables. Coordinate with cross-functional teams to drive collaboration, ensure timely delivery, and resolve roadblocks, holding all stakeholders accountable for their roles. Lead efforts to proactively identify and mitigate risks throughout the project lifecycle, ensuring the project stays on track and within scope. Ensure that all releases are tested thoroughly and meet the companys quality standards before deployment. Effectively handle resistance and manage conflicts, fostering a culture of ownership, accountability, and commitment across teams. Maintain regular communication with stakeholders, including senior leadership, product managers, and development teams, providing updates on project status, risks, and mitigation plans. Lead retrospectives and post-release reviews to identify areas for continuous improvement in the release and development processes. Manage competing priorities and adapt quickly to changes, balancing short-term fixes with long-term goals. Promote a culture of innovation, driving teams to think creatively while adhering to the project timelines and ensuring high-quality outcomes Qualification: 7+ years of experience in project management, with a proven track record in managing software product releases, including bug fixes and new features. Strong understanding of the product development lifecycle, including planning, testing, release management, and version control. Demonstrated ability to lead cross-functional teams, driving collaboration, managing conflicts, and ensuring accountability across product management, development, and quality teams. Experience in identifying and managing project risks, ensuring on-time delivery, and maintaining quality standards throughout the project lifecycle. Excellent communication and interpersonal skills, with the ability to manage stakeholder expectations and resolve conflicts effectively. Strong leadership and motivational skills, able to drive teams to take ownership of their responsibilities and deliver on commitments. Ability to work extended hours and weekends when necessary to meet deadlines and ensure product quality. Preferred Qualifications : Experience with Agile or other project management methodologies. Background in managing projects within regulated industries, particularly healthcare or life sciences. Familiarity with managing distributed or outsourced teams. Exposure to advanced technologies, such as AI/ML or data analytics, is a plus.

Job Description: Technical Trainer Data Science Location: Primary: Office premises at Hitec City, Hyderabad Secondary: Engineering colleges for Centre of Excellence (COE) programs in and around Hyderabad Job Summary: We are seeking a passionate and experienced Technical Trainer with expertise in Data Science and Python to deliver industry-relevant training programs. The role involves training fresh graduates under the Graduate Apprentice Development (GAD) Program) at our corporate office and conducting workshops in engineering colleges for COE initiatives . Key Responsibilities: 1. Graduate Apprentice Development (GAD) Training: Deliver structured, hands-on training on Data Science and Python programming to fresh graduates at the office premises. Design practical coding sessions and projects aligned with industry requirements. 2. COE Programs at Engineering Colleges: Conduct interactive sessions, workshops, and hackathons for COE programs in engineering colleges. Collaborate with academic institutions to customize training content to meet institutional goals and address students' skill gaps. 3. Curriculum and Content Development: Create and update comprehensive training materials , including slides, coding exercises, and real-world case studies. Integrate the latest advancements in Data Science and Python into the training curriculum. 4. Skill Evaluation and Feedback: Assess participants' learning progress through tests, coding challenges, and project evaluations . Provide detailed feedback to trainees and support them in improving their technical skills. 5. Reporting and Collaboration: Maintain records of training sessions and prepare detailed progress reports for stakeholders. Coordinate with internal and academic teams to ensure seamless training delivery. Required Skills and Qualifications: Technical Proficiency: Strong knowledge of Data Science, Machine Learning, and Python . Experience with libraries like Pandas, NumPy, and TensorFlow . Proficiency in Python programming , including object-oriented concepts and frameworks. Ability to integrate Python and Data Science tools for real-world applications. Educational Background: Bachelor's or Master's degree in Computer Science, IT, or related fields . Training Experience: 35 years of experience as a trainer in Data Science, Python, or similar technical domains . Proven ability to deliver hands-on coding sessions and manage diverse trainee groups. Soft Skills: Exceptional communication and presentation skills . Strong organizational skills and ability to manage multiple training programs. Preferred Qualifications: Certifications in Data Science, Python, or related fields (e.g., AWS, Oracle Certified Developer). Experience working on live projects involving Data Science or Python applications. Familiarity with industry-academic partnership programs like COE. Employment Type: Full-time with required travel to engineering colleges in and around Hyderabad.

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience: 6-10Years (3+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 USA: +1 (346) 999 0801 Email: Balaram@aurumdatasolutions.com

Ideal Candidate: - Strong communication and interpersonal skills. - Ability to work in a team and independently. - Relevant educational background. - Willingness to learn and adapt. - Strong technical knowledge - Interested to work in the latest technologies - Knowledge of MS Excel - Technologies in electric cars, 5G, solar energy, crypto, AI - Eligibility Criteria: BE, BTech IT, BSc Cs, BCA, ME, MTech , MCA, MSc IT

Role & responsibilities developers in RPA, AI/ ML based skills We would prefer candidates with actual experience of working in finance and accounting related automation involving RPA, AI/ML. MACHINE LEARNIG AND ARTIFICIAL INTELLIGENCE NOTE : IT IS A CONTRACTUAL ROLE FOR 6 MONTHS AND WILL BE RENEWED BASED ON PROJECTS. COMPANY NAME : SANDOZ LOCATION : HYDERABAD TRANSPORT PROVIDED FOR 5 DAYS WORKING SHARE RESUME TO NEDUNURI.SAIKUMAR@MANPOWER.CO.IN

Lead - IT & Digital Transformation Location: Kolkata CTC: 20 LPA - 24 LPA 1) Lead IT and Digital initiatives 2) Plan, prepare & implement Digital & Automation solutions 3) ERP, CRM, Analytics, Cloud 4) IT Budget, Team handling ***************** Required Candidate profile Age: 38 - 45 yrs Edu: B.Tech/ MCA Exp: 15+ yrs Skills: 1) IT Policy, Infra, Cloud, Security, IT Budget 1) Digital Roadmap, Sales/ Marketing/ SCM Automation 2) ERP, Mobile App, CRM, Analytics

Job Role: As a Lead Data Scientist, youll drive data-driven innovation, transforming complex datasets into actionable insights that guide strategic decisions. Collaborating with cross-functional teams, you’ll develop predictive models, analyze trends, and deploy scalable solutions that maximize impact. This role combines technical expertise with leadership, offering opportunities to shape data strategies, mentor junior scientists, and influence high-impact projects across the organization. Why Choose Ideas2IT: Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies. AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here). We are following suit. One of our GenAI initiatives is LegacyLeap, which converts legacy applications to modern technologies. This is a complex AI problem, and you will have an opportunity to work on it. The market response to the LegacyLeap platform has been tremendous. What’s in it for you? Experience in identifying enterprise-level challenges and transforming them into impactful product ideas. A knack for turning abstract concepts into structured strategies that align with market needs. A sharp analytical mindset that can evaluate market trends, customer insights, and competitor analysis to ensure a spot-on product-market fit. Skilled at building actionable roadmaps that are informed by real customer needs, market demand, and strategic objectives. An ability to guide product development from ideation to execution. Proven ability to engage with stakeholders, extract meaningful insights, and align diverse teams on shared goals, ensuring a seamless journey from product concept to launch. A team-oriented approach with a history of fostering innovation through close collaboration with engineering, marketing, sales, and design teams, always with a focus on the customer. Here’s what you’ll bring Join a dynamic environment that values creativity and strategic thinking, where you can truly shape the future of products and solve real-world challenges. Leverage a wealth of market data and industry insights to sharpen your strategic skills and stay ahead of the competition. Opportunities for continuous learning and advancement as you work on cutting-edge products with a talented, cross-functional team. Play a key role in guiding product direction, collaborating with key decision-makers, and influencing the development of solutions that make a difference in the industry. About Us: Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, Roche, and others. Harnessing our product-centric approach, we've incubated several AI-based startups—including Pipecandy, Element5, IdeaRx, and Carefi. in—that have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives. P.S. We're all about diversity, and our doors are wide open to everyone. Join us in celebrating the awesomeness of differences!

Design and implement AI/automation strategies. Develop/integrate AI tools with IT infrastructure. Monitor/optimize AI solutions. Analyze data using AI/ML. Develop predictive models and automated incident responses. Collaborate/communicate with teams. Required Candidate profile Tech Expertise: Ansible, Azure OpenAI, Python, Java, R, AWS, Azure, Google Cloud. Experience: 5+ yrs in IT operations, automation or AI/ML. Certifications: Azure AI Engineer, Certified Data Scientist.

- Design and develop AI-based systems utilizing machine learning, programming & data analytics skills. - Create intelligent apps that can learn from data; maintain and update AI systems. - Test and evaluate AI models for accuracy & efficiency. Required Candidate profile - Strong background in machine learning and deep learning algorithms - Proficiency in programming languages such as Python, Java, or C++ - Experience with data analytics tools and techniques

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: GenAI Solution Architect/Lead Experience : 6+ Yrs Location: Pune Job Position (Title) GenAI Solution Architect/Lead Technical Skill Requirements :LLMs, Python, Cloud, Azure AI/Azure ML, Chatbot, MLOps, LLMOps, Data Science Responsibilities We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative AI, LLM and cloud technologies. As the Lead Data Scientist, you will be responsible for leading our data science team on for the client and driving the design, architecture, development and implementation of Generative AI based applications. You will be responsible for providing solutions by continuously keeping up with the new developments in this space. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge GenAI solutions that address our business needs. The ideal candidate will have a minimum of 5 years of real hands on experience in machine learning/LLMs with expert level python coding skills, with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. Responsibilities: Drive the end-to-end development and deployment of GenAI based applications, instrumenting model tuning and evaluation and managing model drifts leveraging cloud-based infrastructure and services. Collaborate with cross-functional teams to understand business requirements and translate them into data science projects that deliver tangible value. Stay up-to-date with the latest advancements in Chat/voice bot, NLP, generative AI, and cloud technologies, and apply the latest research findings to enhance existing models and algorithms. Evaluate and select appropriate cloud-based tools, frameworks, and services to support data science initiatives, ensuring scalability, reliability, and cost-efficiency. Collaborate with cloud engineering teams to optimize the deployment and management of machine learning models in cloud environments. Communicate complex technical concepts and findings to both technical and non-technical stakeholders through clear and concise presentations and reports. Required Skills : Bachelor's or master's degree in computer science, data science, or a related field. Minimum of 5 years of experience in machine learning, with a focus on chatbot, NLP, generative AI, and cloud technologies. Strong expertise in programming languages such as Python, as well as proficiency in relevant libraries and frameworks. Proven experience in developing and implementing LLM based applications. Deep understanding of GenAI techniques, such as RAGs, Agent base architecture, Prompt Engineering etc. Familiarity with generative AI models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs). Solid knowledge of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers is a plus. Experience working with large-scale datasets and data pre-processing techniques. Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex challenges. Experience with at least one cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of cloud-based machine learning services and infrastructure. Azure preferable. Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: AI Operations (AI Ops) Engineer Experience : 8+ Yrs Location: Pune, Hyderabad, Gurugram Skillsets- Azure, Gen AI, MLOps, Python, ML(Machine Learning), Data Science , SQL Job Summary: AI Operations (AI Ops) Engineer AI Ops Engineer with a strong background in Python, API development, Large Language Models (LLM) concepts, ML Ops, Azure Cloud and AI operations with 8-10 years of experience working on advanced AI/ML systems, cloud infrastructure, and API integrations, with a focus on operationalizing AI models and maintaining robust systems for AI-driven applications. This role requires a combination of technical expertise in cloud computing, machine learning, and software engineering. Collaborate with IT operations and business teams to support business user issues, requests, Production support and deployments; advocate best practices and recommend technical solutions for improvements in usability of application and systems performance Key Responsibilities: Technical Operations: Review, Implement and support enterprise-level AI platforms and services to drive IT operation excellence. Ensuring that new use cases are onboarded smoothly and operationalized Optimization: Analyze business processes to identify areas for automation and work with business stakeholders and IT teams to determine requirements and design software bots to reduce operational toil. AI Ops & Model Deployment: Lead the operationalization and deployment of AI/ML models into production environments, ensuring they are highly available, scalable, and performant. Implement and monitor Continuous Integration (CI) and Continuous Deployment (CD) pipelines. Python Development: Design and develop Python-based solutions for automating and managing the lifecycle of AI/ML models, including data ingestion, model training, and real-time prediction workflows. API Integration: Build and maintain robust APIs for model serving and integration with other systems. Ensure seamless communication between models, data pipelines, and consumer applications. LLM Concepts and Implementation: Apply knowledge of Large Language Models (LLMs) to develop AI-driven applications and services, ensuring models are optimized and performing efficiently in production. ML Ops: Implement and maintain Machine Learning Operations (ML Ops) practices for version control, monitoring, logging, and debugging of AI/ML models in production. Support model retraining, versioning, and A/B testing. Cloud Infrastructure: Leverage Azure Cloud services for hosting and scaling AI applications, ensuring security, compliance, and performance. Implement infrastructure as code (IaC) using tools like Azure DevOps. Collaboration: Work closely with backend engineers, data engineers/developers, infrastructure engineers , operational SMEs and business stakeholders to tackle evolving challenges in the field of AI/ML to ensure AI solutions meet business requirements and performance benchmarks. Monitoring & Optimization: Continuously monitor the performance of deployed AI models and optimize them for efficiency, cost-effectiveness, and accuracy. Implement alerting and logging mechanisms by scripts or through observability solution. Documentation & Best Practices: Document AI Ops processes, Use cases, tools, and workflows. Establish and enforce best practices for managing AI models in production environments. Required Skills & Qualifications:(Python Developer + ML-Engineer + MLOPS+ Azure) Experience: 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices. -Data ScienePython: Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas. MLOPS Engineer APIs: Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration. ML Ops: In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows. Data Science LLM Concepts: Familiarity with Large Language Models (LLMs), including experience working with transformer-based models such as GPT, BERT, or T5. Data Engineer Azure Cloud: Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management. DevOps & CI/CD: Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation. DE Data Management & Tools: Experience working with data storage and processing tools like Azure Blob Storage, Azure SQL Database, Kafka, or similar. Version Control: Expertise with Git and version control best practices for collaborative development of AI systems. Problem Solving: Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems. Communication & Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment. Preferred Skills: Cloud Certifications: Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Azure DevOps Engineer. Security & Compliance: Understanding of security best practices in AI model deployment and experience with secure handling of sensitive data in the cloud. Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and integration with AI/ML pipelines. Agile Methodologies: Experience working in Agile teams, with knowledge of Scrum, Kanban, or similar frameworks. Education: A Bachelor's or Masters degree in Computer Science, Engineering, Data Science, or a related field is preferred.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior AIML Engineer Experience : 6+ Yrs Location: Pune Skillsets- AIML , Gen AI, MLOps, AWS, Python, ML(Machine Learning), Data Science , SQL,AWS Job Summary: We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies. As a Data Scientist, you will be working for a client and driving the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge AI solutions that address our business needs. The ideal candidate will have a minimum of 3 years of real hands on experience in machine learning , with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes. Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued.

Job Title : AVP, Data and Enterprise Engineering We are seeking a highly skilled and experienced Director of Data and Enterprise Engineering to lead our Data Management and Enterprise Engineering team and oversee client discussions and proposals involving the cloud. The ideal candidate should have a strong engineering background with proficiency in software application delivery and a proven track record in data management. Key Responsibilities : This is a leadership role, and one can play multiple hats and have many learning and growth opportunities. This role will also allow building expertise in the chosen area over a period, for career advancement. Technical areas Data Management : Understand data ecosystem data strategy aligning with business goals, data governance, quality, medallion architecture, and so on Oversee the design and implementation of modern data platforms Cloud Services and Infrastructure : Manage proposals and projects involving cloud service providers (e.g., AWS, Azure, Google Cloud) Ensure the efficient and secure integration of cloud services with existing data systems Optimize cloud-based data storage and processing solutions for performance and cost-effectiveness Software Engineering Project Delivery : Leverage engineering expertise to oversee the delivery of enterprise software projects for global customers Leadership areas Team Management and Capability Building : Lead and mentor a team of data engineers, analysts and scientists. Provide guidance, support, and professional development opportunities to team members. Foster a collaborative and innovative team environment. Build capability within organizations such as building a FinOps competency as an example Be a champion of continuous learning and professional growth Hiring and Retention Strategy : Develop and implement effective hiring and retention strategies to attract and retain top talent Conduct interviews, evaluate candidates, and make hiring decisions Implement initiatives to enhance employee satisfaction and reduce turnover Set up career growth plans for team members to support their professional development and long-term retention Business growth Proposals and contracts : Lead the development and management of Requests for Proposals (RFPs) and Statements of Work (SOWs) for data management projects. Ensure all proposals and contracts meet organizational standards and client requirements. Stakeholder Collaboration : Internal and external stakeholder management is required for various initiatives Thought Leadership: Demonstrate thought leadership in the field of data and AI Be active in the community through social media, events and conferences, etc. Required Skills and Qualifications : Technology leader with an engineering background and proven experience in leading data-driven solutions Experience in S ervice industry is a must (managing proposals, RFPs, SOWs, utilization management, etc.). Exposure to consulting is nice to have. Proficiency with one of the cloud service providers (e.g., AWS, Azure, Google Cloud) Excellent understanding of data ecosystem including MDM, data governance, dq, data architecture, data observability, and data consumption (analytics/ ai/ data democratization) Understanding of enterprise architecture , product & platform engineering Strong leadership, communication, and interpersonal skills with growth mindset Ability to manage multiple projects and priorities in a fast-paced environment. Experience in developing hiring and retention strategies, including setting up career growth plans, Bachelors or masters degree in computer science, Engineering, Data Science, or a related field.

We are seeking a highly skilled Lead DevOps Engineer to oversee and manage our cloud infrastructure, CI/CD pipelines, and overall DevSecOps strategies. This role is critical for ensuring smooth deployment processes, cost-effective cloud management, and robust security practices across multiple platforms. The ideal candidate will have strong expertise in cloud platforms such as AWS, Azure, or GCP, along with a deep understanding of FinOps and DevSecOps principles. Responsibilities Oversee cloud infrastructure administration focusing on AWS while supporting Azure and GCP environments as required. Monitor and enhance system reliability, incident management, and fault-tolerant infrastructure. Ensure compliance with DevSecOps best practices, integrating security into the development lifecycle. Optimize cloud costs and efficiency, driving FinOps practices for resource utilization. Monitor system performance and health using telemetry tools, identifying potential issues proactively. Automate processes to reduce manual intervention and enhance system reliability. Troubleshoot critical issues and enhance system performance. Design, implement, and manage CI/CD pipelines for seamless software delivery. Ensure compliance with industry security standards, including HITRUST, SOC 2, and similar frameworks Lead effective project management efforts, ensuring timely delivery of objectives while mentoring and managing junior engineers Qualifications: Bachelors degree in CS or ECE. 6+ years of DevOps experience, including 2+ years in leadership. Proficiency in AWS (preferred), Azure, or GCP cloud platforms. In-depth knowledge of Kubernetes for container management. Expertise in cloud-native deployment architectures using tools like Kubernetes, Crossplane, Terraform, Helm, and ArgoCD. Expertise in DevSecOps and integrating security at all stages of the development pipeline. Hands-on experience with FinOps for cloud cost optimization. Familiarity with telemetry and monitoring tools like Prometheus, Grafana, or ELK stack. Proficiency in shell scripting, and knowledge of Python programming Demonstrated experience in system reliability engineering and incident management. Strong communication, leadership, and mentorship skills, with a proven track record of effective project and people management. Familiarity with AI-first systems or prior experience supporting AI-based workloads is a plus.

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine

Required Skills & Qualifications: Proficiency in Python, PySpark, and SQL for data processing and analytics. Strong experience working with Palantir Foundry , including Pipelines, Ontologies, Code Workbooks, and Data Transformation . Knowledge of cloud environments (AWS, Azure, or GCP) and distributed computing. Understanding of data governance, security, and compliance best practices. Excellent problem-solving skills with the ability to optimize performance in large datasets. Strong communication and collaboration skills to work with cross-functional teams. Preferred Skills (Nice-to-Have): Experience with Palantir Artificial Intelligence Platform (AIP) . Knowledge of machine learning models and AI integration within Foundry. Experience with CI/CD pipelines and DevOps for data workflows. Familiarity with APIs and microservices for data integration.