
ML Model Developer
2 days ago
Role Overview
We are seeking a highly skilled Machine Learning Engineer to design, build and deploy scalable machine learning models that drive business value.
Main Responsibilities:
- Design and train machine learning models for real-world applications
- Collaborate with cross-functional teams to develop production-ready ML solutions
- Optimize model performance and ensure reliability in production environments
- Implement data pipelines for preprocessing, feature engineering and model monitoring
- Integrate ML models into applications and APIs
Requirements:
- 2–5 years of experience as an ML Engineer or in a similar role
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
- Solid understanding of data structures, algorithms and software engineering best practices
- Experience with scientific data is a plus
Perks:
- Remote work arrangement
- Opportunity to apply ML in high-impact projects
- Innovative culture: autonomy, ownership and collaboration
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