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Applied AI Engineer - action1
AI Engineer
Applied AI Engineer building production‑ready ML models using Python, TensorFlow, and AWS services, with containerization via Docker and data pipelines in SQL.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning solutions for real‑world business problems.
- Collaborate with data scientists to translate research prototypes into scalable, production‑grade code.
- Implement model training pipelines on AWS (SageMaker, EC2, S3) and manage model versioning.
- Containerize applications with Docker and orchestrate deployments using AWS ECS/EKS.
- Monitor model performance, troubleshoot issues, and iterate on model improvements.
Requirements
- 3+ years of experience building ML models in Python with TensorFlow or PyTorch.
- Strong knowledge of AWS services (SageMaker, Lambda, S3, CloudWatch).
- Proficiency in Docker, CI/CD pipelines, and version control (Git).
- Experience with SQL and data engineering concepts.
- Excellent problem‑solving skills and ability to communicate complex ideas to cross‑functional teams.
Skills
pythonmachine learningtensorflowawsdocker