Description

You will design, build, and deploy cloud-native, production-ready AI solutions supporting enterprise AI transformation.

Responsibilities

• Design and implement end-to-end AI/Machine Learning solutions using GenAI, traditional ML, and data-driven models.
• Build and deploy RAG, multi-agent, and protocol-based AI systems in production.
• Integrate AI capabilities into applications using serverless and containerized AWS architectures.
• Fine-tune, optimize, and monitor models for performance and scalability.
• Build APIs, microservices, and CI/CD pipelines to support continuous delivery and observability.

Required Skills

• 5+ years of experience building and deploying AI/Machine Learning applications in production.
• Proficiency in Python and experience with modern AI/ML frameworks.
• Strong experience with both GenAI and traditional Machine Learning techniques.
• Hands-on experience with AWS-based architectures (serverless, microservices, CI/CD).
• Experience with PyTorch, TensorFlow, LangChain, and LlamaIndex.
• Familiarity with AWS SageMaker, Bedrock, Lambda, and S3.
• Experience with Docker, Git, and CI/CD pipelines.
• Knowledge of SQL/NoSQL databases and vector databases.

Key Skills

Education

Any Graduate