Machine Learning Engineer?- Contract - W2 Only (No C2C)

Overview

On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

machine learning
artificial intelligence
AI
python

Job Details

Machine Learning Engineer

Onsite in Austin, TX - for a very strong candidate, will consider them working in Morris Plains NJ or St. Louis MO.
Core Hours: 8:00 AM - 5:00 PM CST

Duties:

  • Machine Learning Engineer with 5+ 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. Strong experience in Python (MLlib, TensorFlow, and PyTorch).

Skills:
  • 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
  • Experience with AWS cloud services and running Apache Spark applications.
  • Experience with API development leveraging Fast API / Flask
  • Must have industry experience in building Forecasting models
Education:
  • Any Engineering / Mathematics related undergrad degree

For more information please contact Tom Mazzulla at
Since 1995, iTech Solutions Inc., has been providing IT Consulting and Direct Hire Services to the Insurance, Financial, Communications, Manufacturing and Government sectors with local offices in Connecticut, Minnesota, Colorado, Massachusetts, Tennessee, North Carolina, and New Jersey / Pennsylvania area.

Our recruiting strategy is simple, if you want to find qualified IT professionals then use IT professionals to find them. So at iTech Solutions, our personnel are all career IT professionals with a wide range of IT experience. We can honestly say our staff understands the technologies, the complexities of finding and selecting the appropriate personnel and the pressures of running successful IT projects.



Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.