AI ML Developer

TCS is Hiring AI ML Developer For Bangalore, Hyderabad, Chennai, Pune, Mumbai, Delhi location

Experience

Mode of interview

Location

Must have:

• Deep expertise in AWS infrastructure and DevOps methodologies (CI/CD).
• Strong understanding of application integration technologies and modern AI/GenAI tools.
• Proficiency in Python and Git for code management and automation.
• Extensive knowledge of RAG, LangChain, Langraph, and Agentic RAG frameworks.
• Develop and refine prompts for various generative AI applications, including text generation, language translation, and conversational AI.
• Analyze and interpret AI model outputs to identify areas for improvement in prompt design.
• Collaborate with data scientists and machine learning engineers to integrate prompts into AI pipelines and workflows.
• Utilize Python to create scripts for prompt testing, evaluation, and automation.
• Conduct experiments to measure the effectiveness of different prompting techniques and strategies.
• Stay up-to-date with the latest developments in generative AI and prompt engineering.
• Document best practices and guidelines for prompt engineering within the organization.
• Contribute to the development of prompt libraries and reusable components.
• Demonstrated experience in team leadership, architecture creation, and technical mentoring.
• Excellent communication skills to engage with customers and stakeholders.

Good to have:

• Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.
• Experience working on multiple concurrent projects.
• Excellent problem-solving skills.

Responsibilities:

• Deep expertise in AWS infrastructure and DevOps methodologies (CI/CD).
• Lead architectural design and implementation of complex systems and solutions.
• Collaborate with customers to gather requirements and translate them into scalable architectures.
• Guide and mentor the team in adopting best practices for implementation.
• Develop and manage AWS infrastructure, ensuring optimal performance and cost efficiency.
• Design and oversee CI/CD pipelines to streamline development and deployment processes.
• Integrate and manage application technologies for seamless communication across systems.
• Work hands-on with Git for version control and collaborative workflows.
• Drive innovation by leveraging Generative AI (GenAI), RAG (Retrieval-Augmented Generation), LangChain, LangGraph, and Agentic RAG principles.
• Implement and optimize various types of retrieval mechanisms for efficient data querying.
• Utilize Python for scripting and development tasks across projects.