remote
AI Systems Engineering Expert - TripleTen
Software Engineer
Lead AI systems engineering, designing scalable ML pipelines on AWS, integrating data engineering and DevOps practices to deliver high‑performance digital reskilling products.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines using Python and AWS services (SageMaker, Lambda, S3, DynamoDB).
- Collaborate with data scientists to translate models into production‑ready services, ensuring robustness, scalability, and low latency.
- Design and maintain CI/CD workflows, containerization (Docker, ECS/EKS), and infrastructure as code (Terraform, CloudFormation).
- Monitor model performance, set up automated retraining triggers, and implement A/B testing frameworks.
- Mentor junior engineers, conduct code reviews, and promote best practices in software engineering and ML Ops.
Requirements
- 5+ years of experience in AI/ML engineering with a strong Python background.
- Proven track record deploying ML models at scale on AWS.
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of data engineering concepts and experience with SQL/NoSQL databases.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningaws