IN

AI/ML Engineer (Generative AI, ML,AWS)

Infosys Limited
Bangalore Posted 1 Oct 2026
FULL TIME
bedrock
Git
Agile Methodologies
Tensorflow
Rest Apis
+6 more

Job Description

Job Description:

  • We are looking for a skilled AI ML Engineer with a strong background in Generative AI Machine Learning and AWS Cloud to create, develop, implement, and enhance AI-driven solutions.
  • The preferred candidate will possess hands-on experience in constructing scalable ML models, executing GenAI use cases with LLMs, and deploying AI applications on AWS.

Key Responsibilities:

  • Design and implement ML pipelines and LLM-based agents, including RAG Agentic AI, utilizing AWS Bedrock, SageMaker, and LangGraph.
  • Develop, train, and productionize ML models for churn prediction and forecasting while adhering to MLOps best practices.
  • Construct RAG architectures, integrate LLM APIs, perform prompt engineering, and establish responsible AI guardrails.
  • Demonstrate expertise in Python, Scikit-learn, TensorFlow, PyTorch, and hands-on experience with SageMaker, vector databases such as FAISS, Pinecone, and OpenSearch.
  • Proficiency in Python, LangGraph, LangChain, Bedrock, and OpenAI integration is essential; familiarity with LLM fine-tuning, LangSmith, and AWS ML Specialty certification is a plus.

Technical Requirements:

  • Robust proficiency in Python and AI ML libraries, including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Practical experience with Generative AI and Large Language Models (LLMs).
  • Familiarity with OpenAI, Claude, Gemini, Llama, or similar foundational models.
  • Comprehensive understanding of Prompt Engineering, RAG, embeddings, and vector databases.
  • Experience with frameworks like LangChain, LangGraph, LlamaIndex, or similar.
  • Hands-on knowledge of AWS services, including:
  • SageMaker
  • Bedrock
  • Lambda
  • EC2
  • S3
  • Glue
  • API Gateway
  • CloudWatch
  • Strong SQL and data processing capabilities.
  • Experience with REST APIs and microservices architecture.
  • Familiarity with Git, CI/CD, and Agile methodologies.

Preferred Skills:

Technology->AI-Data science->Machine Learning, Technology->AI-Generative AI->Generative AI for Data Analytics, Technology->AI-Data science->PYTHON
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