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

Job Description:

• We are in search of a skilled AI ML Engineer specializing in Generative AI Machine Learning and AWS Cloud to create, develop, implement, and enhance AI-driven solutions
• The ideal applicant should possess practical experience in constructing scalable ML models, executing GenAI use cases utilizing LLMs, and deploying AI applications on AWS

Key Responsibilities:

• Generative AI ML AWS
• Architect and implement ML pipelines along with LLM-powered agents RAG Agentic AI leveraging AWS Bedrock, SageMaker, and LangGraph
• Develop, train, and productionize ML models for churn recommendation and forecasting utilizing MLOps practices
• Construct RAG architectures, integrate LLM APIs, apply prompt engineering, and establish responsible AI guardrails
• Strong hands-on experience with Python, Scikit-learn, TensorFlow, PyTorch, SageMaker, vector databases including FAISS, Pinecone, and OpenSearch
• Proficiency in Python, LangGraph, LangChain, Bedrock, and OpenAI integration; familiarity with LLM fine-tuning, LangSmith, and AWS ML Specialty is a plus

Technical Requirements:

• Solid expertise in Python and AI ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
• Practical experience with Generative AI and Large Language Models (LLMs)
• Familiarity with foundation models like OpenAI, Claude, Gemini, Llama, or similar
• Strong grasp of Prompt Engineering, RAG, Embeddings, and Vector Databases
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent
• 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-Generative AI->Generative AI for Data Analytics,Technology->AI-Data science->Machine Learning