We are looking for a passionate AI/ML Engineer with 2-3 years of experience in designing, developing, and deploying Machine Learning and Generative AI solutions on AWS Cloud. The ideal candidate should have hands-on experience with Python, ML frameworks, cloud-native AI services, and MLOps practices to build scalable and production-ready AI applications.
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.
Technical Requirement
- 2-3 years of hands-on AI/ML development experience
- Solid 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
Additional Responsibility
- 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.