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Job Overview

  • Job ID:

    J37720

  • Posted Date:

    01/02/2020

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Engineer

  • Location:

    miami,FL

  • Duration:

    7 Months

  • Domain Exposure:

    Government, Education, IT/Software

  • 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:

    Erin Ferguson




Job Description

Job Description

RESPONSIBILITIES:
Kforce has a client in search of a Machine Learning Engineer in Jupiter, Florida (FL).


Summary:
The machine learning engineer will be able to deploy machine learning models to production using AWS. The machine learning engineer will be comfortable with accessing data from a variety of sources and transforming it into a usable form.

REQUIREMENTS:
* B.S. in Quantitative Field (Computer Science/Math/Engineering/Physics)
* MS/Ph.D. in Computer Science and 2+ years of experience; 5+ years of experience without MS/Ph.D.

AWS:
* AWS Developer Certification DevOps Engineer
* Machine Learning Specialization
* Big Data Specialization

Data Science:
* Advanced knowledge of machine learning algorithms and applications
* General ability in NLP, time-series-analysis, computer vision with a specialization in at least one, verified through the use of public repository projects/published papers
* Ability to implement state-of-the-art algorithms published in technical papers/ability to develop new algorithms

Software Engineering Skills:
* Ability to write production code in Python, Java, and Spark
* Ability to work with Apache and Hadoop and a general ability working with distributed systems
* Experience developing data pipelines at scale
* Familiarity with SQL and NoSQL
* Experience with deep learning frameworks including TensorFlow, PyTorch, MXNet and bringing deep learning models to production at scale


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Equal Opportunity Employer

ARTIFINT TECHNOLOGIES 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. ARTIFINT TECHNOLOGIES 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 ARTIFINT TECHNOLOGIES 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