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    Machine Learning Engineer - Chicago, IL, United States - Janus Health

    Janus Health
    Janus Health Chicago, IL, United States

    3 weeks ago

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    Description
    At Janus, we believe in a world where healthcare functions efficiently.

    Join us on our mission to improve the lives of administrative workers and fundamentally change the way work is done.

    Our team is building a world-class process improvement platform to help healthcare providers generate more cash with fewer resources.

    We are seeking a Machine Learning Engineer to join our team Our Machine Learning Engineers collaborate closely with Data Scientists and other engineering teams to design, implement, and maintain systems that operationalize and scale our data and machine learning pipelines.

    Expertise in machine learning operations and cloud infrastructure will be crucial in ensuring the successful deployment and management of our production machine learning systems.

    The ideal candidate will have a passion for cutting-edge technology, complex problem-solving, and delivering high-quality solutions.

    Collaborate with Data Scientists and product teams to understand user stories and convert them into technical requirements for machine learning solutions.

    Design, build, and deploy production machine learning systems on AWS cloud infrastructure.
    Develop and maintain robust data and machine learning pipelines, ensuring scalability, reliability, and efficiency.

    Implement and optimize monitoring, logging, and alerting systems to ensure the health and performance of deployed machine learning models.

    Work closely with DevOps and infrastructure teams to ensure seamless integration and deployment of machine learning pipelines.
    Automate and streamline the end-to-end machine learning workflow, including data ingestion, feature engineering, model training, evaluation, and deployment.
    Implement best practices for version control, model reproducibility, and model deployment.
    Collaborate with cross-functional teams to identify and address performance bottlenecks, scalability challenges, and data quality issues.
    Continuously evaluate and adopt emerging technologies and tools to improve the efficiency and effectiveness of machine learning operations.
    1-3 years of relevant work experience in ML, including designing, building, and deploying production machine learning systems.
    ~ Strong expertise in deploying machine learning models on AWS cloud infrastructure.
    ~ Proficiency in Python and SQL for data manipulation, analysis, and model development.
    ~ Strong knowledge of Linux, Docker, and Kubernetes for containerization and orchestration of machine learning applications.
    ~ Strong knowledge of PySpark, Airflow, and data pipelines; strong knowledge of Sagemaker and machine learning pipelines.
    ~ Passion for learning and staying updated with the latest advancements in machine learning, MLOps, and cloud technologies.
    ~ Bachelor's degree in Computer Science, related field, or equivalent experience.
    ~ Familiarity with Computer Vision, NLP, or Reinforcement Learning is a plus.
    ~ Experience working at a health system or healthcare technology company is preferred.
    ~ Experience working at a software as a service (SaaS) company is preferred.
    ~ We contribute 100% of base plan (HDHP) medical premiums for employees and 50% of premiums for family members. We contribute 75% of premiums for dental and vision insurance for employee-only plans.

    We have an employee assistance program that allows you the chance to work through any issues that may arise with the appropriate professional.

    We offer stock options to share in the value we create and in the ownership of Janus, so let's make it something that we are proud of.

    We provide a monthly allowance to cover the cost related to working in a remote environment like upgraded internet or to offset your cell phone bill.

    We encourage on-going training, additional certifications and professional development related to your role and will review all requests for additional growth (including travel).

    We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs.

    We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

    Further, consistent with applicable federal and state law, Janus provides reasonable accommodations when requested by qualified applicants or employees with disabilities, unless doing so would cause an undue hardship.

    Janus' policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process.

    If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.

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