AI/ML Engineer (with AWS Cloud Skills)

Responsibilities

Develop, train, evaluate, and deploy Machine Learning models for business use cases.

Build predictive analytics, classification, regression, recommendation, and NLP solutions.

Work with structured and unstructured datasets for model development.

Perform feature engineering, model tuning, and performance optimization.

Develop applications using LLMs and Generative AI technologies.

Build Retrieval-Augmented Generation (RAG) pipelines.

Integrate foundation models through AWS Bedrock or OpenAI APIs.

Implement prompt engineering and LLM evaluation techniques.

Additional Responsibilities

Experience with AWS Bedrock and Foundation Models.

Exposure to LangChain, RAG, and Vector Databases.

Knowledge of MLOps practices and model monitoring.

Familiarity with Docker and containerized deployments.

Certification in AWS Cloud or AWS Machine Learning is a plus.

Technical and Professional Requirements

2-3 years of hands-on AI/ML development experience

Strong Python programming skills

Experience developing and deploying ML models on AWS

Understanding of ML lifecycle from data preparation to deployment

Exposure to SageMaker and AWS cloud services

Experience with GenAI/LLM projects is highly preferred

Preferred Skills

• Generative AI – Basic
• AWS Data Analytics
• Machine Learning
• Artificial Intelligence – BASIC

Educational Requirements

Bachelor of Engineering