
Senior Machine Learning Developer
2 weeks ago
Develop Scalable Machine Learning Models for Real-World Applications
About the Role:- We're seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML models that drive business outcomes.
- Design, train, and deploy machine learning models that power real-world applications.
- Collaborate with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions.
- Optimize model performance and ensure reliability in production environments.
- Implement pipelines for data preprocessing, feature engineering, and model monitoring.
- Work closely with backend teams to integrate ML models into applications and APIs.
- 2–5 years of experience as an ML Engineer or in a similar role.
- Strong proficiency in Python, 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/biotech/healthcare data is a plus.
- Opportunity to work on cutting-edge projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- Please submit your resume and cover letter.
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