TCS is Hiring AI ML Developer For Bangalore, Hyderabad, Chennai, Pune, Mumbai, Delhi location
Experience : 6 - 15 years
Mode of interview: Virtual
Location : Bangalore, Hyderabad, Chennai, Pune, Mumbai, Delhi
JOB DESCRIPTION:
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.
