Chief Machine Learning Architect

1 week ago

Bhavnagar, Gujarat, India beBeeMachine Full time US$ 1,20,000 - US$ 2,00,000

Key Role:

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As a Machine Learning Engineer, you will be responsible for designing and deploying scalable machine learning models to power cutting-edge food safety platforms. You will collaborate closely with cross-functional teams to develop and implement ML pipelines.

Core Responsibilities:
  • Design and train scalable machine learning models for real-world biotech applications.
  • Collaborate with cross-functional teams to develop and implement ML pipelines.
  • Optimize model performance and ensure reliability in production environments.
  • Implement pipelines for data preprocessing, feature engineering, and model monitoring.

Requirements:

  • 2–5 years of experience as an ML Engineer or in a similar role.
  • Strong proficiency in Python and popular ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Experience deploying models at scale using cloud platforms like AWS/GCP/Azure.
  • Knowledge of MLOps tools like Docker, Kubernetes, and CI/CD for ML pipelines.

The Ideal Candidate:

You will have the opportunity to apply ML in high-impact biotech solutions. The ideal candidate has a solid understanding of data structures, algorithms, and software engineering best practices. Experience with scientific/biotech/healthcare data is a plus.

Benefits:

You will enjoy flexibility and work-life balance working remotely.

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