Machine Learning Engineer

Worcester, MA, US • Posted 21 days ago • Updated 9 hours ago
Contract Independent
On-site
USD $70.00 - 80.00 per hour
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Job Details

Skills

  • Research and Development
  • Mergers and Acquisitions
  • Deep Learning
  • Training
  • Amazon SageMaker
  • Regulatory Compliance
  • Biology
  • Python
  • SQL
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Amazon Web Services
  • Machine Learning (ML)
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Cloud Computing
  • Communication
  • Privacy
  • Marketing

Summary

Location: Worcester, MA
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description:

One of our clients in the biopharmaceutical industry is looking to hire a Machine Learning Engineer. This role focuses on supporting biologics and genetic medicine R&D by building and deploying advanced ML models on a hybrid cloud (on-prem + AWS) platform.

1+ year contract with possibility for extensions

Hybrid schedule (3 days onsite in Worcester, MA per week)

Responsibilities
  • Build, optimize, and deploy machine learning models within a hybrid on-prem/AWS platform.
  • Design and maintain ML pipelines for predicting biologics developability, immunogenicity, and manufacturability.
  • Work with protein sequences, structures, and multi-modal omics datasets to develop predictive models.
  • Implement and evaluate methods including deep learning, transformers, graph neural networks, and probabilistic models.
  • Automate training, validation, and deployment workflows using tools such as SageMaker and MLflow.
  • Ensure reproducibility, traceability, and compliance within regulated scientific environments.


Qualifications
  • 5+ years of experience in applied machine learning or computational biology.
  • Strong proficiency in Python, SQL, and common ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face).
  • Hands-on experience deploying models and building ML pipelines in AWS or hybrid cloud environments.
  • Understanding of protein structure, antibody sequences, or biologics-related domain knowledge.
  • Experience with ML operations, including model versioning, experiment tracking, and CI/CD workflows.
  • Ability to work collaboratively with scientists, bioinformaticians, and cloud/data engineers.
  • Strong communication skills with the ability to translate scientific problems into computational solutions.


If this is something you'd be interested in please send over a copy of your resume and I can give you a call.

Thanks

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Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1118063
  • Posted 21 days ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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