
High-Impact Biotech Solutions Developer
1 week ago
Design, build, and deploy scalable machine learning models that power cutting-edge food safety solutions.
Collaborate with data scientists, engineers, and domain experts to translate business requirements into production-ready ML solutions.
Optimize model performance, ensuring reliability in live environments.
Implement pipelines for data preprocessing, feature engineering, and model monitoring.
Integrate ML models into applications and APIs with backend teams.
Drive the development of robust, high-quality software that delivers impactful results in biotech and healthcare industries.
Develop and maintain accurate documentation, ensuring seamless knowledge transfer among team members.
Required Skills and Qualifications">Essential:
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- 2–5 years of experience as a Machine Learning Engineer or similar role
- Strong proficiency in Python and leading ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience deploying models at scale on 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
- Proven track record of delivering projects on time and within budget
- Effective communication skills, with the ability to convey complex ideas to both technical and non-technical audiences
Enjoy the following perks:
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- 100% remote work arrangement
- Opportunity to apply ML in high-impact biotech and healthcare solutions
- Autonomy, innovation, and ownership in a dynamic startup environment
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