
Scalable Machine Learning Solutions Engineer
2 days ago
We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy scalable machine learning models that drive innovation in the biotech industry.
About the RoleThis is an exceptional opportunity for a talented engineer to work on cutting-edge projects, leveraging expertise in machine learning, data science, and software engineering.
Key Responsibilities- Develop and train machine learning models for real-world biotech applications using Python and popular frameworks.
- Collaborate with cross-functional teams to translate requirements into production-ready ML solutions.
- Optimize model performance and ensure reliability in large-scale environments.
- Implement pipelines for data preprocessing, feature engineering, and model monitoring.
- Integrate ML models into cloud-based applications and APIs.
- Minimum 2–5 years of experience as an ML Engineer or similar role.
- Strong proficiency in Python and popular machine learning libraries.
- Experience deploying models at scale on cloud platforms (AWS/GCP/Azure).
- Familiarity with MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Bachelor's degree in Computer Science, related field, or equivalent experience.
- 100% remote work option.
- Opportunity to apply machine learning in high-impact biotech solutions.
- A dynamic startup culture that values autonomy, innovation, and ownership.
In addition to a competitive salary and benefits package, we offer a unique opportunity to work on exciting projects, collaborate with experienced professionals, and grow your career in a fast-paced environment.
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