Job Information
Randstad US machine learning lead analyst in morris plains, New Jersey
machine learning lead analyst.
morris plains , new jersey
posted 3 days ago
job details
summary
$56.93 - $66.93 per hour
contract
bachelor degree
category computer and mathematical occupations
reference1073601
job details
job summary:
Enterprise Healthcare client has an immediate opening for a highly motivated Machine Learning Lead Analyst to join their dynamic and growing team. All qualified candidates are encouraged to !
Machine learning libraries: TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes.
location: Morris Plains, New Jersey
job type: Contract
salary: $56.93 - 66.93 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Machine Learning Engineer with experience in designing, building, and maintaining machine learning models and pipelines. Proven ability to work with a variety of data sources, including structured and unstructured data. experience in Python (MLlib, TensorFlow, and PyTorch).
qualifications:
Experience level: Manager
Education: Bachelors
skills:
Machine Learning
PyTorch
TensorFlowEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.
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