AI/ML Engineer
Role details
Job location
Tech stack
Requirements
Do you have experience in Terraform?
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Dental insurance
Full job description
Core Responsibilities (AI/ML, Python, AWS, GenAI)Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.Build and maintain cloud-native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.Develop high-performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real-time analytics.Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered automation (chatbots, summarization, semantic search, anomaly detection).Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure-as-code (Terraform/CloudFormation) for reliable, automated deployments.Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning
Pay: $120,000.00 - $124,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off