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    Senior Machine Learning Engineer - Boston, United States - Barrington James

    Barrington James
    Barrington James Boston, United States

    2 weeks ago

    Default job background
    Upper Management / Consulting
    Description

    Barrington James is currently seeking a Senior Machine Learning Engineer for one of its clients dynamic teams based in Boston. The ideal candidate will possess a proven track record in advancing, expanding, and refining the framework of a rapidly evolving product. Our client value a commitment to development, instruction, learning, and engagement within a high-achieving, interdisciplinary team dedicated to impacting the healthcare experience of countless patients and medical professionals.

    Key Responsibilities:

    • Architect, develop, and sustain the infrastructure pivotal to our machine learning applications, services, and processes.
    • Construct, uphold, and augment our ML platform, facilitating continuous integration, delivery, and training of our machine learning models.
    • Utilize advanced programming languages, cloud-based services, and serverless architectures to forge systems that are both scalable and robust.
    • Conceptualize, design, and forge components within the data pipeline to empower a variety of machine learning models in a live environment.
    • Spearhead the creation and execution of infrastructure initiatives, including the formulation of technical blueprints, strategies, and detailed specifications, as well as their ongoing refinement.
    • Design, implement, and manage the comprehensive ML platform stack, encompassing features like monitoring, data observability, and the entire model lifecycle.
    • Examine the current pipeline, pinpoint inefficiencies, and enhance both the throughput and response times of ML elements.
    • Harmonize performance indicators and notifications with fiscal prudence and precision.
    • Craft and deploy automated mechanisms for model training and deployment.

    Requirements:

    • At least 4 years of expertise in ML Systems Engineering.
    • A minimum of 4 years of professional experience in Python (preferred) or other prevalent languages within the ML sphere.
    • Expertise in the inference optimization of NLP models.
    • Solid proficiency with infrastructure and DevOps instruments, including Kubernetes, Docker, and Ansible.
    • Familiarity with distributed systems, storage solutions, and databases.
    • In-depth understanding of cloud services platforms like AWS (preferred), GCP, and Azure.
    • Experience with code-based infrastructure tools such as Terraform (preferred), Pulumi, Cloud Formation, etc.
    • Knowledge of monitoring, tracing, and logging utilities like Cloudwatch, NewRelic, Prometheus, etc.
    • Exceptional communication abilities, a robust sense of responsibility, and a methodical problem-solving approach.
    • Demonstrated capacity to oversee and direct active incidents, determine their origins, and devise strategies to prevent future occurrences.

    Interested ? If so, please apply with your CV and we shall be in-touch to arrange a call.

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