Machine Learning Engineer

Contract: South San Francisco, California, US

Salary: $100.00 Per Hour

Job Code: 354408

End Date: 2024-10-31

Days Left: 12 days, 0 hours left

Position Details: 
Domain: Healthcare
Job Title: Machine Learning Engineer
Duration: 06 Months
Location: South San Francisco, CA
Pay Range: $90 - $100 / hr
 
Primary Responsibilities: 
  • Create, deploy, and maintain scalable machine learning models in production environments.
  • Address core research engineering challenges such as the design, implementation, and scaling of machine learning algorithms.
  • Work closely with research scientists, computational biologists, and data engineers to solve complex problems and ensure models meet project objectives.
  • Develop solutions that allow stakeholders to interact with and analyze multimodal datasets, including genetics, genomics, imaging, and clinical data.
  • Use best practices in software engineering to ensure solutions are scalable and reusable.
  • Foster a culture of innovation and collaboration while driving technical excellence in machine learning and data science.
Qualifications: 
  • Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field is required (Graduate degree preferred).
  • Minimum of 4+ years of experience developing and applying machine learning models in an industry setting.
  • Demonstrated success in deploying models and working in various computing environments, including HPC and AWS.
  • Proficiency in Python and experience with Weights and Biases.
  • Strong familiarity with MLOps workflows, including code version control, high-performance compute infrastructures, and machine learning experiment monitoring.
  • Extensive experience with machine learning frameworks and libraries like JAX, PyTorch, PyTorch Lightning, and TensorFlow.
  • Strong foundation in statistics, probabilistic modeling, and data analysis.
  • Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
  • Proven experience collaborating with external partners, such as academic institutions or industry research groups.
  • Strong problem-solving abilities and a commitment to staying current with advancements in machine learning.
Job Requirement
  • ML
  • AI/ML
  • Machine learning
  • Statistics
  • MLops
  • Python
  • AWS
  • Pytorch
  • Tensorflow
  • data science
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Arushi Verma
  • arushi.verma@collabera.com
Apply Now
Apply Now
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Collabera is a leading global digital talent solutions firm. For over 25 years, we have provided digital and IT talent services, direct placement and career advisement, global remote talent and learning solutions to transform and diversify workforces for the Fortune 1000 globally.

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