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    Sr. MLOPS Architect - Dallas, United States - Synechron

    Synechron
    Synechron Dallas, United States

    2 weeks ago

    Default job background
    Accounting / Finance
    Description

    Synechron is currently seeking a Senior MLOPS Architect (AWS Sagemaker) to join their team in Pittsburgh, PA & Dallas, TX.

    About the Role

    • Design, implement, and operate a framework for Machine Learning Operations (MLOps) on AWS
    • Build MLOps pipelines orchestration on Amazon SageMaker
    • Review and optimize data science models, including code refactoring, deployment, and monitoring
    • Develop tools for Data Science and ML Research
    • Test data science models and automate validation processes
    • Collaborate with a team of data experts, document processes
    • Enhance and update platform capabilities

    About You

    • 12+ years experience in Software Engineering
    • Hands-on experience with cloud environments like AWS
    • Proficient in building MLOps pipelines on AWS SageMaker
    • Experience in DevOps practices and tools like Jenkins, Bitbucket, Kubernetes, OpenShift
    • Familiarity with machine learning frameworks and libraries such as TensorFlow, Keras, PyTorch
    • Skilled in modern programming languages like Python
    • Knowledge of Agile methodologies
    • AWS Machine Learning certification preferred
    • BS degree in Computer Science or related field

    What We Offer

    • Competitive compensation and benefits
    • Global opportunities
    • Work-life balance benefits
    • Insurance and retirement plans
    • Training and development programs
    • Diverse and inclusive work environment

    SYNECHRON'S DIVERSITY & INCLUSION STATEMENT

    Diversity & Inclusion are core values at Synechron, creating an environment that respects and values differences. We are committed to building a diverse workforce and encourage applicants from all backgrounds to apply. Our workplace initiatives focus on inclusivity, equality, and respect for all individuals. Synechron offers flexible work arrangements, mentoring, and global career growth opportunities.

    All employment decisions are made based on business needs and individual qualifications, without discrimination based on gender, orientation, race, ethnicity, or other protected characteristics.

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