Lead Machine Learning Model Developer

23 hours ago


Kota, Rajasthan, India beBeeMachine Full time US$ 1,80,000 - US$ 2,50,000
Key Roles and Responsibilities

As a machine learning engineer, you will play a pivotal role in developing and deploying scalable models for real-world biotech applications.

  • Design, train, and deploy complex machine learning models to drive business growth and improve public health outcomes.
  • Collaborate closely with cross-functional teams, including data scientists, engineers, and domain experts, to translate requirements into production-ready ML solutions.
  • Optimize model performance and ensure reliability in high-pressure production environments.
  • Implement efficient pipelines for data preprocessing, feature engineering, and model monitoring.
  • Work with backend teams to integrate ML models into applications and APIs, driving innovation and customer satisfaction.
Requirements:
  • 2–5 years of experience as an ML Engineer or in a similar technical role.
  • Strong proficiency in Python programming language and popular machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience deploying models at scale using cloud platforms (AWS, GCP, Azure).
  • Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines) is highly desirable.
  • Solid understanding of data structures, algorithms, and software engineering best practices.
  • Experience working with scientific/biotech/healthcare data is a significant plus.

Contribute your expertise to the development of cutting-edge biotech solutions leveraging machine learning technologies.



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