Job Details

Machine Learning (ML) / Artificial Intelligence (AI) [ No C2C or OPT ]

Troy, Michigan, United States

Duration: 3+ years

Locations: Washington DC

Role Title: Machine Learning Engineer

This role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape.

Over eight (8+) years of data science and analytics design and development with good business skills

The following functions are the responsibility of the ML Engineer within Data Science Team.

Position Responsibilities:

  • Responsibilities includes, but are not limited to the following:
  • Design, build, deploy, monitor and support production deployment of data science solutions
  • Research and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready state
  • Select appropriate datasets and data representation methods
  • Optimize and transform data science prototypes/solutions for speed, reliability, and scale
  • Implementing parallelization using spark, Kubernetes, etc
  • Testing different platform stacks for performance and efficiency
  • Providing scalability by planning, designing and deploying on the appropriate CPU/GPU clusters
  • Collaborate cross-functionally with domain experts to identify gaps and structural problems
  • Present findings and discuss project results with business units
  • Analyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiency
  • SQL knowledge is must


  • Knowledge of 7 + years of Python
  • Data mining experience
  • Deep knowledge of statistics and practical implementations of computational statistics
  • Predictive modeling and algorithms
  • Knowledge of in reporting and data visualization

- provided by Dice

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