onsite
Machine Learning Engineer - Revive It Recruitment
ML Engineer
Senior Machine Learning Engineer building AI infrastructure for autonomous agents, leveraging Python, TensorFlow, and cloud services to design scalable, production‑ready models and pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for autonomous agent workloads.
- Collaborate with data scientists to translate research prototypes into production‑grade services.
- Implement scalable model serving on AWS using Docker and Kubernetes.
- Optimize model performance and resource utilization across cloud infrastructure.
- Maintain CI/CD pipelines and monitor model health in production.
Requirements
- 5+ years of experience building production ML systems.
- Proficiency in Python, TensorFlow, and cloud platforms (AWS).
- Hands‑on experience with containerization (Docker) and orchestration (Kubernetes).
- Strong understanding of distributed training and model deployment best practices.
- Excellent problem‑solving skills and ability to work in a fast‑paced startup environment.
Skills
pythonmachine learningawsdockerkubernetestensorflow