W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Engineer

  • Location:

    Eden Prairie,MN

  • Duration:

    12 Months

  • Domain Exposure:

    Utilities/ Energy, Retail, Oil & Gas

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Responsibilities:

  • Work with Data Scientists and Business Analysts to frame problems within a business context
  • Build data pipelines that pull data from various sources
  • Collaborate with Data Scientists to develop algorithms and tools for training and running simulations
  • Develop services that host the trained models and work with other application teams to integrate them into business processes
  • Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect domain expert feedback
  • Participate in code reviews to ensure code quality and share best practices and experiences with the team

Required skills:

  • Experience and interest in machine learning and AI, and in working with real world data sets
  • Production-quality developer in Python, C/C++, Java, or other general-purpose language
  • Fluent with software development best practices, including version control, documentation, testing and CI/CD
  • Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR)
  • Experience with production database systems (e.g. Postgres) and technologies
  • Experience with big data frameworks such as Cassandra, Spark and Hadoop
  • Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow
  • Familiar with ML lifecycle tools such as MLflow, FBLearner Flow, TFX and Michelangelo
  • Demonstrated awareness of how to succeed in ambiguous circumstances
  • Experience with commercialization of analytics-driven applications / SaaS
  • Experience with analytics development for industrial applications in a commercial setting
  • Experience with virtualization and containerization, including managing and deploying containers using Kubernetes/Docker
  • Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery
  • Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.
  • System Engineering and API based integration experience for large production systems
  • Field experience working with customers and clients

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Equal Opportunity Employer

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract