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Python Machine Learning Engineer - Solulever
ML Engineer
Seeking a Python Machine Learning Engineer to design, train, deploy and monitor production‑grade models for smart manufacturing, leveraging TensorFlow, PyTorch, scikit‑learn and robust MLOps pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine‑learning models using Python, TensorFlow, PyTorch, and scikit‑learn.
- Build end‑to‑end MLOps pipelines for model versioning, continuous integration, and automated monitoring.
- Collaborate with data engineers and domain experts to wrangle, preprocess, and feature‑engineer large industrial datasets.
- Optimize model performance for real‑time inference in manufacturing environments.
- Maintain documentation, conduct code reviews, and ensure reproducibility of experiments.
Requirements
- Strong proficiency in Python and experience with major ML frameworks (TensorFlow, PyTorch, scikit‑learn).
- Hands‑on experience building and operating MLOps workflows, including containerization and CI/CD.
- Solid background in data preprocessing, feature engineering, and handling large, noisy datasets.
- Ability to translate business problems into scalable ML solutions and monitor them in production.
- Excellent problem‑solving skills and a passion for applying ML to real‑world manufacturing challenges.
Skills
pythontensorflowpytorchmlops