
AI Model Developer
1 day ago
We are seeking a talented Machine Learning Engineer to join our team and contribute to the design, development, and deployment of cutting-edge machine learning models.
The successful candidate will have a strong background in machine learning, programming skills in Python, and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Additionally, they should be familiar with cloud platforms like AWS, GCP, or Azure and have knowledge of MLOps tools including Docker, Kubernetes, and CI/CD pipelines.
A solid understanding of data structures, algorithms, and software engineering best practices is essential for this role. Experience working with scientific, biotech, or healthcare data is a plus.
Key Responsibilities:- Design, train, and deploy scalable machine learning models for real-world applications
- Collaborate with cross-functional teams to translate requirements into production-ready solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Integrate ML models into applications and APIs
- 2–5 years of experience as an ML Engineer or similar role
- Strong proficiency in Python and ML frameworks
- Experience deploying models at scale on cloud platforms
- Familiarity with MLOps tools
- Solid understanding of data structures, algorithms, and software engineering best practices
- 100% remote work arrangement
- Opportunity to apply ML in high-impact biotech solutions
- Autonomy, innovation, and ownership in a startup culture
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