remote
Senior Machine Learning Engineer - Career Renew
ML Engineer
Lead end‑to‑end AI solutions for digital pathology, building scalable ML models in Python and TensorFlow on AWS, while driving data engineering and model deployment for high‑throughput diagnostic workflows.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy deep learning models for pathology image analysis using TensorFlow or PyTorch.
- Collaborate with data scientists and software engineers to build robust data pipelines and feature engineering workflows on AWS.
- Optimize model performance and inference latency for real‑time diagnostic applications.
- Implement CI/CD pipelines for model versioning, testing, and monitoring in a cloud environment.
- Mentor junior ML engineers and contribute to best practices for model governance and reproducibility.
Requirements
- 5+ years of experience in machine learning engineering, with a strong background in computer vision.
- Proficiency in Python, TensorFlow/PyTorch, and cloud services (AWS, S3, SageMaker).
- Hands‑on experience with data engineering, ETL pipelines, and model deployment at scale.
- Excellent problem‑solving skills and ability to translate research into production systems.
- Strong communication skills and a collaborative mindset in a remote team environment.
Skills
pythonmachine learningdeep learningtensorflowaws