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:

    J36719

  • Posted Date:

    11/01/2019

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Specialist

  • Location:

    Livonia,MI

  • Duration:

    13 Months

  • Domain Exposure:

    Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance

  • 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)

  • Bench Recruiter:

    vanessa lynch




Job Description

Job Description

Roles and responsibilities include:

Work with customers development and data science teams to deeply understand their business and technical
needs and design ML solutions leveraging our ML partner platform
Thought Leadership Evangelize our services and share best practices through forums such as blogs, podcasts,
whitepapers, reference architectures and public-speaking events
Partner with CTO, Sales and Business Development teams to accelerate customer adoption and revenue
Act as a technical liaison between customers and the ML services engineering teams to provide customer driven
product improvement feedback
Develop and support an internal community of ML related subject matter experts
Identify new business areas where machine learning can leverage data to create efficiencies or revenue
opportunities
Become the internal expert on our MP platform partnership and lead training throughout the organization

Technical Skills: BS or MS in Computer Science, modeling, statistics, analytics, math

Strong grasp of fundamentals: linear algebra, discrete and continuous optimization, supervised and unsupervised
methods, generative and discriminative methods
Expertise in one or more focus areas: deep learning, online learning, sequential prediction, graphical models,
structured prediction, sequential models, reinforcement learning, imitation learning, planning under uncertainty,
bayesian inference, model compression, multi-task learning, forecasting etc.
Proven track record of experience in relevant areas (significant industry experience and/or publication record at top
venues like ICML, AISTATS, NIPS or similar)
Excellent software skills (C++/Python)


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Equal Opportunity Employer

DIGITAL TECHNOLOGIES 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. DIGITAL TECHNOLOGIES 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 DIGITAL TECHNOLOGIES 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


Equal Opportunity Employer

DIGITAL TECHNOLOGIES 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. DIGITAL TECHNOLOGIES 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 DIGITAL TECHNOLOGIES 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