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We are staffing a full-time position as a Data Feature Engineer / AI OPS.  This person will in the design and implementation of AIOPs strategies and predictive modeling across customer systems.

Duties include:

    • Develop data features used for training, testing and production inference
    • Identify, gather and prepare appropriate datasets and inputs suited for machine learning (ML) algorithms
    • Perform trend analysis and distribution of data anomalies used by ML
    • Support the Data Scientist in the creation of predictive models
    • Collaborative with stakeholders to translate business needs and strategies to technical requirements for the development of ML models
    • Work with development teams and modeling engineers to develop data infrastructure to improve the performance of ML models
    • Actively seek out ways to improve data and engineering processes and procedures
    • Research current and emerging trends in relevant new technologies and the field of Data Science and Artificial Intelligence

Requirements include:

    • Must be eligible to work in the US without sponsorship
    • Bachelor’s Degree in Computer Science, Applied Mathematics, Systems Engineering or related field
    • Experience in programming and debugging using a distributed data framework (Spark, Kakfa)
    • Experience in data acquisition and analysis of different datasets
    • Experience within a large-scale and complex Agile environment
    • Expertise in the SDLC and best practices for the creation of ML/AI models
    • Strong analytical problem-solving skills
    • Excellent communication and presentation skills


    • Experience with Scala or Python
    • Experience using ML model frameworks including but not limited to: Tensorflow, Scikit, Sage Maker
    • Experience with cloud infrastructures (AWS, Azure, GCP)