Contemporary Staffing Solutions | Hiring | Machine Learning Scientist (REMOTE) #111122 | Austin, TX | BigDataKB.com | 2022-09-27

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Job Location: Austin, TX

Job Description

Overview:

Machine Learning Scientist

Direct Hire

100% Remote

Job Summary

Our Algorithmic Sciences team integrates Machine Learning expertise with enterprise software to deliver innovative people and process-centric AI solutions. This position is specifically for candidates with demonstrated applied ML expertise who can engage with customers and potential customers to help translate their business problems into a set of data science procedures. This includes estimation of what data, skills, and effort levels would be required for such engagements, and then development of a model in collaboration with your peers on the Machine Learning team and software engineers.

Responsibilities

  • Analyze complex data from various sources to build next-generation ML systems
  • Assist the engineering and operations teams in integrating and deploying your solutions
  • Estimate the effort involved and skills needed from a machine learning perspective for a specific customer engagement
  • Learn and understand industry processes and incorporate them in the solution
  • Maintain a high standard of quality and adhere to best coding practices
  • Coordinate and work collaboratively with remote teams to ensure smooth delivery
  • Measure and optimize the quality of your algorithms
  • Other responsibilities as required

Qualifications

  • Experience with Data Science centered projects in the software industry
  • MS degree in Computer Science/Engineering, related quantitative field with 2 years of relevant experience or a bachelor’s degree in these fields with 4+ years of experience
  • Experience with languages such as Python, C++, and Linux shell scripts
  • Strong interest and knowledge of Artificial Intelligence and its subfields
  • Experience with open-source ML/math toolkits such as scikit-learn, PyTorch, Tensorflow, etc.
  • Ability to collaborate with colleagues on R&D of new algorithms for our software products, as needed
  • Experience in topics including Deep Learning, Reinforcement Learning, optimization, statistics, and NLP is a plus
  • Prior customer facing experience
  • Up to 10% travel

Apply Here

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