- austin , texas
- posted today
- $ $66.93 per hour
- contract
- bachelor degree
- category computer and mathematical occupations
- reference1050774
- Machine Learning Engineer with 7 years of 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).
- Experience level:
- Education:
- AWS Cloud Formation
machine learning lead analyst - Austin, United States - Randstad
Description
machine learning lead analyst.job details
summary
job summary:
Enterprise Healthcare client has an immediate opening for a highly motivated Machine Learning Lead Analyst to join their dynamic and growing team.
Machine learning libraries:
TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes.
Establish and set up model life cycle management with tools like MLFlow, etc
Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions
Deployment utilizing containerization solutions like Docker and Kubernetes
location:
Austin, Texas
job type:
Contract
salary:
$ per hour
work hours: 8am to 5pm
education:
Bachelors
responsibilities:
qualifications:
skills:
Equal 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 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).Applications accepted on ongoing basis until filled.