Machine Learning Engineer

Machine Learning, Keras, PyTorch, TensorFlow, linux, unix, REST APIs, SQL, Spark, Dataproc, Python, C++
Contract W2, Contract Independent, Contract Corp-To-Corp, 24 Months
Depends on Experience
Travel not required

Job Description

Solution IT Inc. is looking for a Machine Learning Engineer for one of its clients in Berkeley, CA

Job Title: Machine Learning Engineer

Summary:

What you need to have:

  1. Familiarity with software engineering best practices in an Agile environment.
  2. Ability to build tools to extracting useful information from, label and analyze video data.
  3. An understanding of the computational trade-offs needed for real-time machine learning applications.
  4. Familiarity with libraries/packages/APIs (e.g. scikit-learn, Keras, PyTorch, TensorFlow, etc.).
  5. Familiarity with linux/unix Familiarity with different ML models (decision trees, random forests, support vector machines, neural networks, nearest neighbor, ensemble of multiple models, etc.).
  6. An understanding of how different ML pipeline pieces work together and how to communicate with them (using SQL database queries, REST APIs, etc.) and the ability to build appropriate interfaces for your component that others will depend on.
  7. Familiar with ML Experiment at scale, ML experiment artifacts management and Machine Learning model deployment.
  8. For the stack : Google compute for cloud computing. Spark/Dataproc for experiment at scale, mlflow for experiment management.

Required Skills

  • 5+ years as a Machine Learning Engineer
  • 5+ years of experience using some combination of Python and/or C++
  • Ability to design and prototype software in simple, understandable code
  • Familiarity with software engineering best practices in an Agile environment
  • Ability to build tools to extracting useful information from, label and analyze video data
  • An understanding of the computational trade-offs needed for real-time machine learning applications
  • Familiarity with libraries/packages/APIs (e.g. scikit-learn, Keras, PyTorch, TensorFlow, etc.)
  • Familiarity with linux/unix Familiarity with different ML models (decision trees, random forests, support vector machines, neural networks, nearest neighbor, ensemble of multiple models, etc.)
  • An understanding of how different ML pipeline pieces work together and how to communicate with them (using SQL database queries, REST APIs, etc.) and the ability to build appropriate interfaces for your component that others will depend on
  • Familiar with ML Experiment at scale, ML experiment artifacts management and Machine Learning model deployment.
  • For the stack : Google compute for cloud computing. Spark/Dataproc for experiment at scale, mlflow for experiment management.

 

Education & Certifications:

  • PhD or equivalent industry experience in a relevant field and demonstrated application of Machine Learning.
  • Bachelor’s degree in Computer Science or Computer Information Systems or its equivalent with relevant experience.

 

Work SiteBerkeley, CA

Duration: FullTime

Expected Start Date: 2 Weeks

Number of Positions: 01

Please send your responses back to contracts@solutionit.com

About Solution IT

Solution IT is a national IT consulting company specializing in: Technology Staffing and Oracle E-Business Solutions based in Boston, Massachusetts.

Thanks
Recruiting Team

SOLUTION IT INC
Work: 781-503-1700
URL: http://solutionit.com/

Dice Id : 10290916
Position Id : Mach_Eng_CAV
Originally Posted : 3 months ago
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