Micron Tech | Jobs | Sr. Machine Learning Engineer, SMAI | BigDataKB.com | 31-03-22

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    Job Location: Hyderabad/Secunderabad

    Responsibilities include, but not limited to:

    • Build and maintain data/solution pipelines that feed machine learning models
    • Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence
    • Design and optimize data structures in data management systems (Hadoop, Snowflake, and Cloud platforms) to enable AI/ML solutions.
    • Build custom software components and analytics applications
    • Create/ Maintain CI/CD pipelines of machine learning solutions in the cloud

    Education Qualifications:

    • Technical Degree required. Computer Science or Statistics background highly desired

    Minimum Qualifications:

    • Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models
    • Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
    • Familiarity with software architecture (data structures, data schemas, etc.).
    • Software development skills and the desire to work on cutting edge development in a Cloud environment
    • Strong scripting and programming skills in one of the following, Python or Java
    • Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)
    • Experience developing Machine Learning or A.I. solutions with either Python, AWS, AZURE, GCP
    • 3+ years building scalable ETL pipelines
    • 3+ years of experience with big data processing and/or developing applications and data sources
    • 3+ years of strong working knowledge of databases (Oracle, MS SQL, Snowflake, or BigQuery)
    • Outstanding analytical thinking, interpersonal, oral and written communication skills
    • Proficiency in the Microsoft Office suite
    • Ability to prioritize and meet critical project timelines in a fast-paced environment
    • Self-motivated and team oriented

    Preferred:

    • Deep knowledge of math, probability, statistics and algorithms Demonstrated ability to study and transform data science prototypes into production solutions
    • Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.

    Apply Here

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