onsite
AI Forward Deployed Engineer - CANCOM SE
Software Engineer
Lead end‑to‑end AI solution delivery, from data ingestion to production deployment, using Python, ML frameworks, and AWS services. Drive automation, scalability, and continuous integration for high‑impact AI products.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end AI pipelines using Python and popular ML libraries.
- Implement scalable, containerized services on AWS with Docker and Kubernetes.
- Integrate CI/CD workflows to automate testing, model validation, and deployment.
- Collaborate with data scientists, product managers, and DevOps teams to translate business requirements into robust AI solutions.
- Monitor model performance in production, troubleshoot issues, and iterate for continuous improvement.
Requirements
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit‑learn).
- Hands‑on experience with AWS services (SageMaker, ECS/EKS, Lambda, S3, RDS).
- Proficiency in containerization (Docker) and orchestration (Kubernetes).
- Solid understanding of CI/CD pipelines and automated testing.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsdockerkubernetescicd