Role & responsibilities Design, build, and optimize machine/deep learning models, including predictive models, recommendation systems, and Gen-AI-based solutions.Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows.Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG)Perform advanced data manipulation, cleansing, and analysis to extract actionable insights from structured and unstructured data.Create scalable and efficient recommendation systems that enhance user personalization and engagement.Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance.Implement and optimize machine and deep learning models for NLP tasks, including text classification, sentiment analysis, and language generation.Explore, develop, and deploy state-of-the-art technologies for AI agents, integrating them with broader enterprise systems.Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases.Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions.Stay informed about cutting-edge advancements in AI, machine learning, NLP, and GenAI applications, and assess their relevance to the organization.Effectively communicate technical solutions and findings to both technical and non-technical stakeholders.Required: At least 3 years of experience working with data sciences.Python proficiency and hands-on experience with libraries like (Pandas, Numpy, Matplotlib, NLTK, Sklearn, and Tensorflow)Proven experience in designing and implementing AI agents and autonomous systems.Strong expertise in machine learning, including predictive modeling and recommendation systems.Hands-on experience with deep learning frameworks like TensorFlow or PyTorch, focusing on NLP and AI-driven solutions.Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs.Experience in prompt engineering for AI models to enhance functionality and adaptability.Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models.Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools.Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation.Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges.Hands-on experience working with API frameworks like Flask, FastAPI, etc. Git and GitHub proficiency.Excellent communication & documentation skills to articulate complex ideas to diverse audiences.Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants.Familiarity with MLOps pipelines and CI/CD for AI/ML workflows.Experience with reinforcement learning or multi-agent systems.BE (OR Master) in Computer Science, Data Science, or Artificial Intelligence.Agentic AI systems using frameworks like Langchain or similar.

Process Analyst(Cost) Education and/or Experience College degree or equivalent work experience1-3 years of process management, project management, or data analysis work experience Knowledge, Skills and AbilitiesMust be able to communicate to all levels of staff members Ability to manage multiple projects and adapt as needed to changing priorities Passion for data analysis and attention to detailsAbility to analyze data for long periods of time (repetitive process of data analysis)Ability to recognize gaps in documentation and processes and apply formal problem-solving techniques to achieve resolution Ability to work independently and proactively towards establishing and completing goals Well organized with effective time management skills Ability to understand and produce budgets and forecastsAbility to produce strategies for cost control and savingsRequirements:Strong experience in Python development.Familiarity with AWS services (e.g., EC2, Lambda, S3, Cost Explorer).Understanding of cloud cost optimization principles (FinOps experience is a plus).Willingness to learn and adapt to evolving FinOps strategies.

Profile:- Technical Support EngineerResponsibilities :-• Attain a good understanding of customer systems and integrations to aid with triage andproblem resolution in production.• Deploy solutions in AWS and on-premises as well as having a generalunderstanding of the build and deployment process for triaging of internal issues• Understanding and manipulating the data model at a database level to provide rootcause analysis.• Possessing the necessary technical expertise to implement solutions supported by RCAwhen requiredDeploy solutions locally or on remote machines to aid in the triage and RCAprocess• Engage with customers in communicating issue status and plan for resolution. Ensure allcommunications are well considered.• Responsible for problem management, problem solving and internal escalations.Contribute to ongoing process improvement.• Customer Support Request (SR) resolution - ensuring SRs are further investigated (andreproduced where possible) after Level 1 has performed triage, debugged, resolved andreleased to the customer for validation. Involves liaising with external customer supportand technical functions as well as internal personnel.• Ensure that customer problems are actioned, completed, and brought to resolution inaccordance with SLAs.• Identify root cause analysis (RCA) of customer issues by technical triage and functionalanalysis• Maintain a strong level of knowledge of the product suite (technical andfunctional) to aid the support process and for SR resolution.[CF1]• Willingness to take ownership of significant elements of an overall solutionEducation and/or Experience• Bachelors or Masters degree in Computer Science, Management Information Systems,• Engineering, Mathematics/ Statistics/ Sciences (or related) disciplines• 5+ years of experience in a production support engineering role• 5+ years of experience working on software implementations• Experience of working remotely in a vendor environment on client sites [CF2]• Experienced in providing regular project and team feedback, as well as measurable• opportunities for improvement.• Experienced using Jira Service Management and Confluence[CF3]Knowledge, Skills and Abilities• Ability to understand and use technologies involved in customer solutions to increaseproblem solving capability and be an effective intermediary between Level 1 and internal• staff on technical problems that surpass the technical depth of the issue.• Strong analysis, design & solutioning skills and able to provide sound direction.• Excellent documentation skills• Proven complex technical problem-solving skills[CF4]• Strong communication skills and proven ability to deliver without direct supervision [CF5]Technical Skills• Technologies: Java, including J2EE technologies such as JSP, AngularJS, Node js,JNDI, Cloud(AWS), AWS Services• Application servers: Websphere,Tomcat, JBOSS• Databases: DB2, Oracle, SQL Server, Aurora• Development Tools: Apache Ant, Maven, Junit, Eclipse, Subversion, Jenkins, Docker,Gradle, GIT• Experience using middleware and integration technologies such as SOAP/HTTP,RESTful, WebsphereMQ, SOA, AquaLogic (Oracle Service Bus)