AI/ML Engineer
Role summary
We are seeking an AI/ML Engineer to design, implement, and deploy end-to-end AI/ML and Generative AI solutions. This role involves building and maintaining cloud-native applications on AWS, developing high-performance Python microservices, and architecting RAG pipelines, embeddings, and vector databases. You will also implement CI/CD pipelines and infrastructure-as-code, and build robust MLOps workflows for automated deployments and model management. The position requires expertise in Python, AWS services, and Generative AI concepts.
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
Work Location: In person
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