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Job Overview

  • Job ID:

    J38568

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Architect

  • Location:

    Austin,TX

  • Duration:

    12 Months

  • Domain Exposure:

    Manufacturing, 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, 1099(C2C)




Job Description

Job Description

Summary:

Our well established north Austin client has a need for a Machine Learning/Artificial Intelligence Architect to join their thriving organization. The Machine Learning/Artificial Intelligence Architect is responsible for planning, researching, developing, and implementing new technologies for image processing and data analysis. Job duties will include all facets of product life cycle for prototype and production systems. Candidate will be required to work with internal and external stakeholders. This will be an IP generating role including patenting, publishing, and presenting at conferences.

RESPONSIBILITIES:

  • Maintain state-of-the-art technical expertise in artificial intelligence, machine learning and software programming.
  • Develop and implement ML and CV algorithms for a variety of problems including classification, identification and robotics.
  • Plan and execute software testing activities, as well as complex and challenging technical projects.
  • Develop requirements and evaluation methods for AI technologies and benchmark vendor technologies.
  • Aid in the design, build, and implementation of AI solutions for our proof of concepts and experiments, including working closely with external vendors to implement AI solutions.
  • Knowledge and hands-on expertise in deep neural network topologies such as convolutional nets, recurrent nets, RBMs, causal reasoning, probabilistic programming.
  • Evaluate positive and negative aspects of competing technologies from the perspective of both the solution provider and the customer.
  • Write accompanying software and architecture documents.
  • Invent new solutions in line with company growth areas.
  • Work on radiation/x-ray systems as needed.
  • Develop solutions within constraints of timeline, budget, functionality, and operational parameters

REQUIRED QUALIFICATIONS:

  • Bachelor's degree in engineering, computer or information science, or other applied sciences.
  • 3-5 years experience and ability to learn various computer operating systems, computer programming languages and environments, and data analysis software.
  • 3-5 years experience in general imaging techniques, including computer vision, machine learning, image processing, segmentation, object detection/recognition, and statistical machine learning applied to big data.
  • 3-5 years experience in manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends.
  • Maintain a radiographer license for the state of Texas (training provided).
  • Maintain a valid driver s license to be insurable by company insurance.
  • Mathematically minded
  • Knowledge of algorithm development, artificial intelligence / machine learning, computer vision
  • Self-starting individual that can work both independently and within team
  • Excellent technical writing and project management skills
  • Knowledge Linux and Windows platforms

PREFERRED QUALIFICATIONS:

  • Masters or Doctorate degree in the engineering field
  • 5 years of experience with research and applied technology
  • 2 years experience in regulatory requirements meeting and documenting radiation safety programs
  • Demonstrated knowledge in as many as possible of the following: C, C++, C#, Python, Javascript, Tensorflow, PyTorch, version control systems, issue tracking systems, unit testing, real-time systems, front-end web technologies, back-end web technologies.
  • Proficiency using nuclear modeling software for simulations and safety.
  • Nuclear imaging techniques, including processing methods, CT image generation, Fourier analysis, signal/stream processing, and image quality measurements.

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Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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