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Forward Deployed Application/ML Engineering Expert - SAP
Software Engineer
Lead end‑to‑end ML and application delivery in production, designing scalable pipelines on AWS, containerizing with Docker, orchestrating via Kubernetes, and automating deployments with CI/CD to drive business impact.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade ML models and microservices using Python and modern ML frameworks.
- Build and maintain scalable data pipelines on AWS (S3, Glue, Redshift, SageMaker) to support model training and inference.
- Containerize applications with Docker, orchestrate with Kubernetes, and implement robust CI/CD pipelines for rapid, reliable releases.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions and optimize performance.
- Monitor, troubleshoot, and continuously improve model accuracy, latency, and resource utilization in a forward‑deployed environment.
Requirements
- 5+ years of experience in ML engineering or application development with strong Python skills.
- Proven expertise in AWS services, containerization, and Kubernetes orchestration.
- Hands‑on experience with CI/CD tools (GitHub Actions, Jenkins, ArgoCD) and automated testing.
- Excellent problem‑solving abilities and a passion for delivering high‑quality, scalable solutions.
- Strong communication skills and ability to work effectively in a distributed, collaborative setting.
Skills
pythonmachine learningawskubernetesdockercicd