Designation: Technical Support Eligibility: only Degree Only Fresher's Year of Passing: 2023 to 2024 Package:18,000 to 20,000+Allowance Per Month Excellent communication Location: Chennai Contact: Kumar-HR Call or What's App 9962898796

Lead the design, development, deployment of machine learning models for large-scale applications.Drive the architecture of machine learning pipelines from data collection.Experience in LLM technologies, computer vision & ML algorithms AI principles.

Experience: 4+ years in Presales within the IT industry Education: MBA from a reputed institute Job Summary: As a Presales Solution Architect, you will collaborate with our sales team to provide technical expertise and support throughout the sales process. You will play a crucial role in understanding customer requirements, crafting tailored solutions, and demonstrating the value of our products. Your role involves managing RFPs/RFIs, conducting client presentations, and converting opportunities into winning bids. You will also be responsible for providing solutions consulting for customized ERP, IoT, IIoT, RFID, WMS, and MES solutions across multiple global regions. Roles & Responsibilities: Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions. Select and evaluate appropriate technologies, frameworks, and platforms. Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP. Ensure seamless integration between enterprise applications, APIs, and third-party services. Presales & Customer Engagement: Manage RFP/RFI processes and create compelling proposals and solution designs. Conduct demos and technical presentations for C-level executives. Lead solution design and proposal preparation for WMS and MES applications with client-specific customizations, including: EAM (Enterprise Asset Management): SAP and customized solutions. PM (Preventive Maintenance Management). MES: SAP and customized solutions. Specialized Consulting: Provide solutions consulting for customized ERP, IoT, IIoT, RFID, WMS, and MES solutions across Indian regions, Gulf countries, the USA, UK, and Africa. Offer presales support for IoT/IIoT solutions and customized software tailored to client-specific applications. Strategic Intelligence & Value Addition: Research industry trends, competition, and client preferences. Integrate win themes into proposals and validate solution feasibility and cost estimations. Collaboration & Process Compliance: Work with cross-functional teams to align proposals with business objectives. Ensure documentation is complete, compliant, and adheres to established standards. Required Skills & Qualifications: Primary Skills: Solution Architecture & Presales: Proven experience in managing and delivering presales solutions in the IT industry. Expertise in designing architectures for scalable and secure solutions. Cloud & Integration Technologies: Proficiency with AWS, Azure, or GCP. Strong skills in enterprise integration, including APIs and middleware. Specialized Domain Knowledge: Experience with customized ERP, IoT/IIoT, RFID, WMS, and MES solutions. Demonstrated ability in solution design, including demo creation and proposal development. Communication & Presentation: Excellent written and verbal communication skills, with a proven track record of client presentations and RFP/RFI management. Secondary Skills: Foundational Knowledge: Basic understanding of AI, Business Analytics, and Data Science. Soft Skills: Strong interpersonal and negotiation skills. Ability to work under pressure, multi-task, and prioritize effectively. Process-oriented mindset with keen attention to detail. Methodologies: Familiarity with agile methodologies and collaborative tools (e.g., MS Teams, OneDrive). How to Apply: Interested candidates should share their resume along with: Current CTC Expected CTC Preferred Location Notice Period Send your resume to:

We are looking for a Generative AI Integration Developer to join our client's team and work on cutting-edge AI solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs) and Foundation Models, integrating them into enterprise applications. Job Title: Generative AI Integration Developer Experience: 7 12 years overall experience including a minimum 3+ years of hands-on experience in AI/ML development, LLM integration, or Generative AI agent development, with a strong focus on prompt engineering and fine-tuning pre-trained models Employment Type: Full-Time Salary: Best in the industry Key Responsibilities: Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs. Design and build AI-powered interfaces and agents for seamless user interaction. Implement prompt engineering techniques to optimize AI responses. Work on Python-based microservices using Flask, Django, or similar frameworks. Collaborate with cross-functional teams to deploy AI solutions. Monitor and optimize AI performance using analytics tools. Stay updated with the latest trends in Generative AI and NLP. Required Skills: Strong programming experience in Python with frameworks like FastAPI, Flask, or Django. Expertise in working with AI APIs from OpenAI, Anthropic, or Hugging Face. Experience in system integration, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines. Knowledge of NLP concepts, prompt engineering, and AI model fine-tuning. Strong problem-solving and communication skills. Preferred Skills: Experience with conversational AI frameworks like Rasa or Dialogflow. Background in UX/UI for AI-driven interfaces. Knowledge of vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG). If you're passionate about AI and want to work on innovative solutions, apply now!

Experience in coding in Python, Javascript, JSS Experience in Python based backend systems (Django, Flask, Tornado server, nginx) Experience in conducting SQL server queries Experience in managing version control using CI/CD pipelines, Azure DevOps Experience in AWS Cloud Systems particularly with APIs, EC2 instances, ALB, Lambda functions Experience in infrastructure needed to deploy AI, i.e., GPU/NVIDEA drivers necessary for different EC2 instances

We are looking for a Generative AI Integration Developer to join our client's team and work on cutting-edge AI solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs) and Foundation Models, integrating them into enterprise applications. Job Title: Generative AI Integration Developer Experience: 7 12 years overall experience including a minimum 3+ years of hands-on experience in AI/ML development, LLM integration, or Generative AI agent development, with a strong focus on prompt engineering and fine-tuning pre-trained models Employment Type: Full-Time Salary: Best in the industry Key Responsibilities: Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs. Design and build AI-powered interfaces and agents for seamless user interaction. Implement prompt engineering techniques to optimize AI responses. Work on Python-based microservices using Flask, Django, or similar frameworks. Collaborate with cross-functional teams to deploy AI solutions. Monitor and optimize AI performance using analytics tools. Stay updated with the latest trends in Generative AI and NLP. Required Skills: Strong programming experience in Python with frameworks like FastAPI, Flask, or Django. Expertise in working with AI APIs from OpenAI, Anthropic, or Hugging Face. Experience in system integration, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines. Knowledge of NLP concepts, prompt engineering, and AI model fine-tuning. Strong problem-solving and communication skills. Preferred Skills: Experience with conversational AI frameworks like Rasa or Dialogflow. Background in UX/UI for AI-driven interfaces. Knowledge of vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG). If you're passionate about AI and want to work on innovative solutions, apply now!

Proficiency in programming languages such as Python or R, with experience in utilizing data analysis and modelling libraries (e.g., pandas, scikit-learn, TensorFlow). Familiarity with GenAI technologies and toolchain - Multi Modal LLMs, RAG, LoRA, LangChain, AI Agents etc. Understanding of best practices and working experience with MLOps, LLMOps, ML Observability, LLM Observabilty tools. Knowledge of SQL and database management systems for data extraction and manipulation.

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.

Proficiency in programming languages such as Python or R, with experience in utilizing data analysis and modelling libraries (e.g., pandas, scikit-learn, TensorFlow). Familiarity with GenAI technologies and toolchain - Multi Modal LLMs, RAG, LoRA, LangChain, AI Agents etc. Understanding of best practices and working experience with MLOps, LLMOps, ML Observability, LLM Observabilty tools. Knowledge of SQL and database management systems for data extraction and manipulation.

Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills [Action Required: Insert 1st bullet according to Years of Experience table] Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Expertise in programming with Python and cutting-edge software engineering practices. Experience in designing and architecting large-scale distributed systems and cloud-native architecture. Experience with developing on Cloud, especially AWS, and knowledge in Infrastructure as Code, tools such as Terraform. Systematic problem-solving and troubleshooting skills in a complex system. Excellent communication skills and ability to represent and present business and technical concepts to stakeholders. Self-managed, self-motivated with a strong sense of ownership, urgency, and drive Preferred qualifications, capabilities, and skills Familiar in AI, ML, or Data engineering. Familiar in developing Automation frameworks/AI Ops.

AI & ML Model Development: •Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation. •Develop and refine ML models, including supervised and unsupervised learning algorithms. •Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots. •Collaborate with AI Engineers to integrate models into enterprise applications. Data Handling & Preprocessing: •Collect, clean, and preprocess data to ensure quality inputs for model training. •Conduct exploratory data analysis (EDA) to uncover insights and inform model development. •Work with Data Engineers to ensure smooth data pipelines and infrastructure. Model Evaluation & Optimization: •Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results. Technical Skills: •Proficient in Python and SQL for data manipulation and model development. •Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. •Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques. •Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage. •Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus. SKILLS Gen AI Lang chain Llama Working experience with Text, Multi Model, and images

JOB DESCRIPTION Position : Director of Engineering - Data/AI Job Location: Hyderabad, India Department: Asia Technology Role Value Proposition We are seeking an experienced and highly skilled Director of Engineering to lead our Data and AI Engineering Team . The successful candidate will be responsible for managing a team of data and AI engineers and data and AI analysts, and will play a critical role in designing, developing, implementing, and maintaining our company's data platforms and AI platforms. This includes designing and building scalable data pipelines, designing and building data hub/data lakes in the cloud, ensuring data quality and integrity, and collaborating with cross-functional teams to deliver business insights and analytics. The ideal candidate will have a strong technical background in software engineering, data engineering, and cloud computing, AI solutions, as well as excellent leadership and communication skills. Key Responsibilities: Lead the design and implementation of scalable and efficient data hubs/lakes in the cloud. Lead the design and implementation of scalable and efficient AI solutions Help design and develop strategy for data ingestion, curation and consumption by the data producers and consumers. Help design the data pipelines and create data assets for the organization. Implement and enforce data governance policies and practices to ensure the security, integrity and quality of our data assets. Drive initiatives to maintain and improve data quality, collaborating with cross-functional teams to establish and monitor data quality metrics. Help design and develop data analytics strategy for the organization. Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Actively contribute to the development process, providing hands-on technical leadership and mentoring to the data engineering team. Identify skill gaps, provide coaching, and support the professional growth of team members, fostering a culture of continuous learning. Candidate Qualifications: Essential Business Experience and Technical Skills: Bachelor's or advanced degree in Computer Science, Engineering, or a related field. Proven track record of 12-15 years in data engineering, with significant experience in cloud-based data engineering solutions. Hands-on experience with design and development of cloud-based data hubs/lakes and defining the enterprise data strategy. Proficiency in implementing and managing data lakes in the cloud. Hands-on experience with large-scale data processing frameworks (e.g., Spark, Hadoop, Kafka). Proficient in programming languages such as Python or Java; familiarity with SQL and database technologies. Experience architecting scalable data systems on cloud platforms (AWS, GCP, Azure) preferably Azure data hub. Experience in data warehousing. (data modeling, dimensional modeling, ETL etc.) and data analytics frameworks (Azure Synapse). Demonstrated experience in implementing and managing data governance frameworks and ensuring high data quality standards. Strong leadership skills with the ability to lead and inspire a high-performing data engineering team, fostering a collaborative and innovative work environment. Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders Why MetLife? At MetLife, we don't fit into a box, we create our own boxes. Our Global Technology team is helping to transform a customer-first Fortune 50 company - by offering the high-tech digital solutions customers have come to expect, while delivery high-touch customer care during the moments that matter most. Our tech teams enable the business, helping fuel MetLife's purpose: always with you, building a more confident future . It's where you can grow your career, driving digital transformation in an agile, open, and inclusive environment, where every voice carries weight, and no idea is left off the table. Here, innovation is everybodys job. Its not done within one team or in a lab. Whether youre driving continuous improvement with your DevOps team, integrating data science and AI into our decision making, or developing best-in-class digital and cloud solutions that protect customer data and personalize their experience, what you build matters as part of a team where together, we can do more.

Shift: This will be rotational shift (UK Timings and India timings) Interview Process: Total 3 rounds (At least 1 interview with be F2F) Must Have Insurance domain experience Job Description: Identify business requirements and analyze processes to determine automation opportunities. Document and validate requirements, ensuring alignment with business goals. Propose and design automation solutions to improve efficiency and reduce manual tasks. Test and review implemented solutions to ensure they meet business needs and compliance standards Core / Must Have: Strong analytical and problem-solving skills. Proficiency in business process modeling and improvement. Ability to gather and document precise requirements. Knowledge of RPA tools (UI Path) and technologies. Knowledge of insurance industry processes. Primary / Should Have: Experience with data analysis and reporting. Understanding of project management principles. Strong stakeholder management skills. Secondary / Could Have: Familiarity with RPA, AI and API concepts. Experience with process mining tools. Knowledge of industry-specific regulations and standards

Lead Data Scientist - GenAI Location: Hyderabad (Onsite/Hybrid) Experience: 8+ years Only Immediate to 30 Days Notice Period will be preferable. About the Role: We are looking for a Project Lead - GenAI with strong expertise in AI, Machine Learning, and Generative AI to lead the development of innovative AI-driven solutions. In this role, you will drive the design, development, and deployment of LLMs, NLP models, and AI agents , ensuring they scale effectively within modern application architectures. If you are an experienced Python engineer with hands-on experience in AI/ML and MLOps , this is a great opportunity to lead impactful projects in a fast-paced environment. Key Responsibilities: Lead and oversee the development of Generative AI solutions from concept to deployment. Design and build scalable AI applications leveraging LLMs, NLP, and AI agents . Architect and optimize data pipelines for AI model training, tuning, and deployment. Implement MLOps best practices for streamlined model deployment and monitoring. Develop and integrate AI models within microservices and event-driven architectures . Stay ahead of the latest advancements in GenAI, AI frameworks, and model fine-tuning techniques . Collaborate with cross-functional teams, including data engineers, ML scientists, and software developers . Drive best coding practices, performance optimization, and AI ethics considerations in AI model development. Must-Have Skills: 8+ years of experience in AI/ML, with a focus on GenAI and NLP. Strong Python engineering skills with experience in building scalable applications. Expertise in Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience in data pipelines, model training & deployment, and MLOps. Experience working with modern application architectures (Microservices, Event-Driven Systems). Preferred Skills: Knowledge of FastAPI for high-performance API development. Experience with Snowflake for data storage and processing. Hands-on experience with PyTorch or TensorFlow for deep learning model development. Familiarity with LangChain & OpenAI APIs for integrating LLMs into applications. Strong communication & interpersonal skills to lead and collaborate effectively.

Very Urgent: AI Tech Specialist Company: AurumData Solutions Location: Hyderabad Experience: 10-15 Years (5+years in AI) Work type: Work From Office Key skills: AI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. # AI Specialist Position Analysis 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: ## 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 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. 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

Job Description We are seeking a highly skilled and motivated Data Science & Machine Learning Developer with a minimum of 3 years of experience of working in Data Science in Conversational AI and Enterprise Search. The ideal candidate should be passionate about creating efficient, scalable, and maintainable code, with a focus on delivering high-quality solutions for our clients. Responsibilities Developing applications using the python programming language. Design and implement web applications using Python and related technologies. Should have worked on PyTorch and Vector Databases Should have worked on model training and Prediction from model Hands on experience in Conversational AI and Enterprise Search Candidate should have worked with Different cloud like Azure, AWS and Google and their respective AI components AWS Lex knowledge is advantage. Involvement in all aspects of the software development life cycle, from requirements gathering to testing and deployment. Testing applications thoroughly before deployment in order to ensure that they are free of errors. Requirements A bachelor's degree in computer science or a related field. Minimum of 3 years of professional experience in Python development. Excellent problem solving and communication abilities, in order to be able to solve complex problems that may arise during the development process. The ability to work independently as well as part of a team. Excellent communication abilities Strong organizational skills

We are looking for Software Professionals as Freelance trainers for the below technologies. Java Dot Net AI ML Software Testing Python Minimum 5 years experience in relevant technology preferred. Apply or whatsapp your profile to 9176663583

Full time plant based role. Candidate from manufacturing industry is required Proficiency in C#, .NET Core, ASP.NET Core MVC, Razor Pages, Web API, Entity Framework Experience with HTML, CSS, JavaScript, SQL Server, cloud platforms (Azure/AWS)

Assist in designing & building AI systems and applications. Work on data collection, cleaning, & preprocessing. Develop Analytical reports & Dashboards Develop & train machine learning models Participate in testing and validation of AI models Required Candidate profile Strong foundation in Python, R, SQL, Understanding of machine learning algorithms and data analysis techniques. Exposure to LLMs and Gen AI Excellent problem-solving skills and attention to detail

We are seeking a Senior Interior Designer with 5+ years of experience in high-end residential design. The ideal candidate must possess strong technical and design knowledge, be proficient in AutoCAD, Photoshop, SketchUp, and AI tools. A deep understanding of new materials, trends, and color theory is essential, along with a keen interest in global and Indian design trends. Excellent communication skills, creativity, and a responsible, hardworking nature are crucial to connect with clients and deliver outstanding designs.

We are looking for a skilled Python Developer who has a strong background in Generative AI. The ideal candidate will be responsible for developing, deploying, and integrating AI models (Gemini, Azure OpenAI etc.) and applications. You will work closely with our data science, engineering, and product teams to build scalable and robust solutions. Key Responsibilities: Design, develop, and deploy Generative AI models using frameworks. Integrate AI models with various applications, ensuring seamless functionality and performance. Collaborate with cross-functional teams to define, design, and ship new features. Write efficient, reusable, and reliable Python code. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications and AI models to improve performance and reliability. Stay updated with the latest advancements in AI and machine learning technologies. Participate in code reviews and provide constructive feedback to peers. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Having IT experience of 4 + Years. Proven experience as a Python Developer with a focus on Generative AI and application integrations. Proficiency in Python and experience with AI/ML frameworks. Strong understanding of machine learning and deep learning algorithms. Experience with API development and cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with software development best practices, including version control (Git), CI/CD, and agile methodologies. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Experience with Natural Language Processing (NLP) and Generative AI Models. Knowledge of Cloud technologies such as Google Cloud, AWS, Azure.

Job Title: Presales Solution Architect Experience: 4+ years in Presales within the IT industry Education: MBA from a reputed institute Job Summary: As a Presales Solution Architect, you will collaborate with our sales team to provide technical expertise and support throughout the sales process. You will play a crucial role in understanding customer requirements, crafting tailored solutions, and demonstrating the value of our products. Your role involves managing RFPs/RFIs, conducting client presentations, and converting opportunities into winning bids. You will also be responsible for providing solutions consulting for customized ERP, IoT, IIoT, RFID, WMS, and MES solutions across multiple global regions. Roles & Responsibilities: Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions. Select and evaluate appropriate technologies, frameworks, and platforms. Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP. Ensure seamless integration between enterprise applications, APIs, and third-party services. Presales & Customer Engagement: Manage RFP/RFI processes and create compelling proposals and solution designs. Conduct demos and technical presentations for C-level executives. Lead solution design and proposal preparation for WMS and MES applications with client-specific customizations, including: EAM (Enterprise Asset Management): SAP and customized solutions. PM (Preventive Maintenance Management). MES: SAP and customized solutions. Specialized Consulting: Provide solutions consulting for customized ERP, IoT, IIoT, RFID, WMS, and MES solutions across Indian regions, Gulf countries, the USA, UK, and Africa. Offer presales support for IoT/IIoT solutions and customized software tailored to client-specific applications. Strategic Intelligence & Value Addition: Research industry trends, competition, and client preferences. Integrate win themes into proposals and validate solution feasibility and cost estimations. Collaboration & Process Compliance: Work with cross-functional teams to align proposals with business objectives. Ensure documentation is complete, compliant, and adheres to established standards. Required Skills & Qualifications: Primary Skills: Solution Architecture & Presales: Proven experience in managing and delivering presales solutions in the IT industry. Expertise in designing architectures for scalable and secure solutions. Cloud & Integration Technologies: Proficiency with AWS, Azure, or GCP. Strong skills in enterprise integration, including APIs and middleware. Specialized Domain Knowledge: Experience with customized ERP, IoT/IIoT, RFID, WMS, and MES solutions. Demonstrated ability in solution design, including demo creation and proposal development. Communication & Presentation: Excellent written and verbal communication skills, with a proven track record of client presentations and RFP/RFI management. Secondary Skills: Foundational Knowledge: Basic understanding of AI, Business Analytics, and Data Science. Soft Skills: Strong interpersonal and negotiation skills. Ability to work under pressure, multi-task, and prioritize effectively. Process-oriented mindset with keen attention to detail. Methodologies: Familiarity with agile methodologies and collaborative tools (e.g., MS Teams, OneDrive). How to Apply: Interested candidates should share their resume along with: Current CTC Expected CTC Preferred Location Notice Period Send your resume to:

Business Analyst (BA), AI Team, Exterro R&D. Join our dynamic product team as a Business Analyst, playing a pivotal role in assisting Product Managers guide a team of AI Researchers to develop cutting-edge enterprise applications and enhance the profitability of existing products. Key Responsibilities: 1. Oversee the entire product life cycle, from strategic planning to tactical implementation. 2. Conduct market research, generate product requirements, and collaborate across teams to address end-user requirements. 3. Evaluate product lines, review specifications, and analyze market segments to contribute to strategic initiatives. 4. Analyze diverse market segments, stay informed about industry competitors, ad collaborate with leadership to develop strategic initiatives. Skills Required: 1. Strong analytical skills and a passion for product development. 2. Demonstrated empathy towards customer problems, translating insights into effective product solutions. 3. Structured thinking using qualitative and quantitative data to prioritize and formulate strategies. 4. Experience in product and business analytics, extracting KPIs from user-centric insights. 5. Employ evidence-based decision-making to construct successful product roadmaps. 6. Excellent people and management skills for effective collaboration. 7. Inquisitive mindset, proficient in professional communication. 8. Experience in scaling/building products within product-based companies. 9. Knowledge of AI, Machine Learning, and Deep Learning is advantageous. 10.Certification in SDLC, Scrum, or Product Management is an additional advantage. Shape the future of AI-based SaaS products with us, contributing to our commitment to delivering high-quality solutions.

External Interfaces: Contractors BPO Partners Vendors Digital tools and Supplier Relation Management (SRM) Internal Interfaces: Global Procurement GNFR Selected Global Procurement GFR categories Finance, Accounting, and Legal GNFR Stakeholders Job Requirements: Education: Bachelors degree in Finance, Accounting, Business, or related field (Masters preferred) Professional accounting and/or finance certification (e.g., CFA, CA, CPA, ACCA, CIMA) is highly desirable Relevant Experience: 5+ years of experience in financial analysis, procurement analytics, or financial planning Strong understanding of procurement processes, financial management, cost savings, and budgeting Excellent understanding of financial reporting, variance analysis, and key performance indicators (KPIs) Proven ability to transform complex data into actionable insights Experience in developing and automating reports and dashboards for real-time data analysis Experience working with external vendors (preferred) Behavioral Skills: Strong analytical mindset with attention to detail Excellent communication skills in English (spoken and written); additional languages are a plus Proactive, problem-solving attitude Highly organized with the ability to manage multiple projects and work under tight deadlines Willingness to work flexible hours due to global time zones Ability to explore and analyze data independently Continuous learning mindset Knowledge: Minimum of 3 years working with Longview (or similar financial planning tools) Advanced proficiency in Excel (advanced formulas, pivot tables, and data analysis) Familiarity with ERP and procurement systems (e.g., SAP Ariba or similar) Experience with procurement analytics tools and financial reporting systems (preferred) Business intelligence & reporting (Power BI, Tableau, Qlik, Spotfire, Alteryx, etc.) Experience with data governance and ensuring data integrity Knowledge of contract negotiation and management from a financial perspective (preferred) Understanding of supply chain finance and cost optimization techniques in procurement (advantageous) Experience with the IGNITE tool and a strong affinity for Data Analytics, Data Science, AI, and Automation (preferred) Roles & Responsibilities: Analytics: Develop financial models to evaluate supplier performance, analyze pricing structures, and assess procurement contracts Work with finance teams to integrate procurement data into financial systems Design and implement reporting dashboards and analytical tools to monitor procurement performance Leverage Longview to streamline financial reporting, budgeting, and forecasting Collaborate with IT and finance teams to enhance Longview configurations Work with Power BI as a user and support the IGNITE tool when necessary Financial Reporting & Oversight: Provide detailed financial reporting and performance analysis to optimize cost management Utilize Longview for consolidated financial reporting and data integrity Present financial results and recommendations to senior leadership Ensure accurate and timely financial reporting (monthly, quarterly, and annual reports) Cost Control & Optimization: Monitor global procurement costs and identify areas for cost reduction Collaborate with procurement teams to identify cost optimization opportunities Utilize Longview to track spending patterns and manage procurement analytics costs Financial Planning & Analysis: Create and analyze financial models to support procurement decisions Conduct financial analysis, including trend analysis, forecasting, and variance analysis Assist in procurement contract evaluations to ensure budget alignment Utilize Longview to model financial scenarios and assess procurement costs Compliance & Internal Controls: Ensure adherence to global financial regulations and accounting standards (IFRS, GAAP) Maintain strong internal controls within Longview for data accuracy and compliance Drive process improvements in financial reporting and procurement analytics Collaboration with Senior Stakeholders: Work with senior leaders across procurement, finance, and other business units to provide strategic insights Assist in driving procurement decisions through data-driven insights and financial forecasts Communicate complex financial data to senior management in a clear and actionable manner Cross-Functional Collaboration: Partner with global procurement teams, supply chain managers, and data analytics professionals Provide training and support on financial analysis tools, including Longview Act as a liaison between finance and procurement teams to ensure alignment on financial goals Collaborate with external vendors as needed