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    Machine Learning Engineer - Pittsburgh, United States - Mastech Digital

    Mastech Digital
    Mastech Digital Pittsburgh, United States

    3 weeks ago

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    Description

    Job Description

    Job Description

    Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Machine Learning Engineer for our client in the Banking domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Permanent position, and the client is looking for someone to start immediately.

    Duration: Full-time

    Location: Pittsburgh, PA, Strongsville, OH (Cleveland)

    Salary: $110,000/Annually

    Role: Machine Learning Engineer

    Primary Skills: Machine Learning

    Role Description: As a Machine Learning Engineer, you must have at least 4+ years of experience.

    Your Future Duties and Responsibilities:

    Design various enterprise information and data and analytics strategies, including defining visions, conducting assessments of people, processes, and technology; and developing dynamic business value roadmaps.

    Design and implement modern industry best practices in governance, management, and quality of information/data.

    Design and implementation of data quality scorecards and metrics.

    Evaluation, selection and implementation of tools and technology for data catalogs, data governance, data quality and data management.

    Collaborate with business and technical teams to provide direction for and contribute to development, implementation and rollout of solutions and consulting services.

    Facilitate design and solution workshops with clients.

    Required Qualifications:

    3-6 years of experience in:

    Model building, Machine Learning Ops, API's, Python, Jenkins, OCP

    Machine Learning & Data Engineering pipelines

    Python with Django and Flask, Spark, Big-Data stack - Hive< Kafka & NoSQL's

    ML Frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

    Statistical Analysis and Fine-Tuning/Hyper-Tuning the models (like Spark-Trails, Optuna).

    Model Lifecycle management in ML Flow and Graph QL

    Feature Engineering

    Education: Bachelor's degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent

    Experience: Minimum 4+ years of experience

    Relocation: This position will not cover relocation expenses

    Travel: No

    Local Preferred: Yes

    Note: Must be able to work on a W2 basis (No C2C)

    Recruiter Name: Gaurav Gulati

    Recruiter Phone:

    Equal Employment Opportunity

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