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Genista Biosciences
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Machine Learning Engineer

Machine Learning Engineer

Genista Biosciences

5 years

|

0 Lacs

Posted:20 hours ago| Platform:

Apply

Skills Required

learning robotics software technology design ml power cutting data model reliability preprocessing engineering python tensorflow pytorch aws gcp docker kubernetes algorithms healthcare

Work Mode

Remote

Job Type

Full Time

Job Description

Machine Learning Engineer (Remote)

Company:

Machine Learning Engineer

What You’ll 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:

2–5 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

More Jobs at Genista Biosciences

Machine Learning Engineer

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Salary: Not disclosed

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Genista Biosciences

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