MLOps/DevOps/CloudOps

Job Description:

• Design deploy ML pipelines and LLM powered agents RAG Agentic AI using AWS Bedrock SageMaker LangGraph
• Develop train and productionize ML models churn recommendation forecasting with MLOps practices
• Build RAG architectures integrate LLM APIs prompt engineering and responsible AI guardrails
• Strong Python Scikit learn TensorFlow PyTorch hands on SageMaker vector DBs FAISS Pinecone OpenSearch
• Must have Python LangGraph LangChain Bedrock OpenAI integration Nice to have LLM fine tuning LangSmith W B AWS ML Specialty

Key Responsibilities:

• Design build and maintain scalable MLOps and DevOps solutions on AWS
• Develop and manage CI CD pipelines for ML model deployment and application releases
• Automate infrastructure provisioning using Infrastructure as Code IaC tools
• Deploy monitor and optimize machine learning models in production environments
• Manage containerized applications using Docker and Kubernetes
• Implement model versioning experiment tracking and monitoring frameworks
• Ensure security reliability and high availability of cloud infrastructure
• Collaborate with Data Scientists ML Engineers and Development teams to operationalize ML workflows
• Troubleshoot deployment performance and infrastructure related issues

Technical Requirements:

• Strong experience with AWS Cloud Services EC2 S3 Lambda IAM EKS ECS CloudWatch SageMaker
• Hands on experience with MLOps tools such as MLflow Kubeflow SageMaker or Vertex AI
• Experience in DevOps tools Jenkins GitHub Actions GitLab CI CD Azure DevOps
• Proficiency in Python scripting and automation
• Expertise in Docker and Kubernetes
• Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation
• Experience with monitoring tools like CloudWatch Prometheus and Grafana
• Strong understanding of Linux systems and networking concepts
• Experience with Git version control

Preferred Skills:

Technology->AI-Data science->PYTHON,Technology->AI-AI Engineering->MLOps,Technology->Cloud Platform->Amazon Webservices DevOps->Amazon CodeDeploy