AI/Machine Learning Lead
HAYS

Job Info

The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply.

Our Client is seeking a AI/Machine Learning Lead in Mason, OH.

Role Description

• Apply data mining and machine learning techniques, perform statistical analysis, and build high-quality prediction systems that solve our customers' business problems
• Explore, interpret, and analyze datasets for patterns of interest
• Work closely with various teams to understand our customers' needs, eventually crafting and pitching machine learning use cases to them
• Model business problems to machine learning ones, map business data to dependent and independent features, perform proper feature engineering, iterate with different predictive models, and conduct hyper parameter optimization to yield highest prediction accuracy to deploy the model to production
• Keep up to date with latest technology trends in machine and deep learning and quickly learn about new frameworks/techniques to be used in projects delivery.

Skills & Requirements

• Strong Machine Learning experience, some of which is within established technical organizations with production systems.
• Deep understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience in at least one of these toolkits: Python, R, Weka, SciKit-learn, MATLAB
• Familiarity with machine learning frameworks/libraries/packages/APIs (e.g., Theano, Spark MLlib, H2O, TensorFlow, PyTorch, etc.)
• Experience Building Models, and training a deep Neural Net
• Experience with Convolutional Neural Networks (CNN)
• Experience with applied statistics skills, such as distributions, statistical testing, and regression
• Experience in analyzing complex problems and translating it into an analytical approach
• Good in translating modelling and analytical output into understandable and actionable business knowledge
• Experience with widely used probability methods (conditional probability, Bayes rule, likelihood, independence, etc.)
• Experience with time series analysis
• Experience with data visualization techniques and tools (e.g., D3JS, ggPlot2)
• Good software engineering background (OOP, data structures, algorithms, computability, and complexity)
• Excellent conversation and communication skills - able to present on research and tools
• Masters in a relevant quantitative field, such as statistics, operations research, or computer science, depending on position level (master's preferred)
• Passionate, Innovative, and Motivated

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the Information Technology industry and market trends . Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.

Additionally, this position is a contract role where Hays offers you the opportunity to enroll in full medical, dental or vision benefits.

• Medical
• Dental
• Vision
• 401K
• Life Insurance ($20,000 benefit)

Nervous about an upcoming interview? Unsure how to write a new resume?

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Hays is an Equal Opportunity Employer.

Drug testing may be required; please contact a recruiter for more information.
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