Machine Learning Engineer

Machine Learning Engineer (Remote)

Company:

Machine Learning Engineer

What Youll Do:

• Design, train, and deploy

  scalable machine learning models

  for real-world biotech applications
• Work closely 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

• Collaborate with backend teams to integrate ML models into applications and APIs

Requirements:

• 25 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

Perks:

• 100% remote
• Opportunity to apply ML in

  high-impact biotech solutions

• Startup culture: autonomy, innovation, and ownership