Artificial Intelligence/Machine Learning Engineer - Python Programming (4-10 yrs)

Role : Senior AI/ML Engineer

Experience : 4+ yrs

Work Mode : Remote

Joining Timeframe : Immediate to 15 days

Role : Senior AI/ML Engineer

Key Responsibilities :

- Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals.

- Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases.

- Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications

- Leverage AWS Bedrock and other AWS services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions.

- Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions.

- Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control.

- Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments.

- Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency.

- Implement responsible AI practices, incorporating guardrails and moderation mechanisms.

- Collaborate with cross-functional teams to translate AI insights into impactful solutions.

- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Qualifications :

- 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python.

- Expertise in AWS services, particularly AWS Bedrock and Lambda functions.

- Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs.

- Deep understanding of LangChain components and advanced NLP techniques.

- Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub.

- Familiarity with best practices in system design, including security, performance optimization, and scalability.

- Proven ability to write high-quality production code and work in collaborative environments.