AI Engineer

Generative Ai And Machine Learning Engineer

Job Description Must Have Technical/Functional Skills Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture · Python, PySpark, SQL · Machine Learning, Deep Learning, NLP · Generative AI, LLMs, Prompt Engineering · Amazon Bedrock, AWS SageMaker · RAG (Retrieval Augmented Generation), AI Agents · LangChain, LangGraph, LlamaIndex · AWS Services: S3, Lambda, IAM, RDS, CloudWatch · MLOps, MLflow, CI/CD Pipelines · Docker, Kubernetes, Terraform · REST APIs, FastAPI, Model Deployment & Monitoring Roles & Responsibilities · Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3. · Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems. · Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement. · Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization.