Machine Learning Operations Engineer (Remote)

We’re a Little DifferentOur mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service.At Mercy, we believe in careers that match the unique gifts of unique individuals - careers that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its “Top 100 Places to Work.”Overview: Machine Learning Ops EngineerPosition can be done Remote (Work from home).• Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.The Machine Learning Operations (MLOps) Engineer works with a team of data scientists to aid in the design and development of machine learning frameworks to accelerate development and productionalization of models.This position supports Mercys efforts to deliver on the vision of personalized, predictive, and proactive care.The MLOps Engineer assists in defining and implementing best practices and leverage their prior engineering, data science, and machine learning experience to build and maintain Mercys ML platform and infrastructure. This position completes routine engineering assignments as directed and assists on more complex projects.The MLOps Engineer effectively documents, develops, and communicates project plans and analytic findings with a variety of technical/non-technical stakeholders. This position will report to the Director of MLOps.Qualifications• Experience: At least 2 years experience in a similar role• Required Education: Bachelors Degree in Computer Science or related field experience.• Other: Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.- Advanced python and related programming skills- Solid understanding of machine learning algorithms and concepts.- Ability to deploy healthcare-relevant predictive and prescriptive models.- Experience with Cloud-based data and AI solutions, especially in implementation and operationalization of Machine Learning based solutions.- Hands on experience with big data ecosystems, machine learning pipelines, model development lifecycle and operation.- Excellent problem-solving skills- Flexible, dynamic personality who works well in a team environment.- Strong organizational skills, an orientation toward detail, and collaboration oriented.We Offer Great BenefitsDay-one comprehensive health, vision and dental coverage, PTO, tuition reimbursement and employer-matched retirement funds are just a few of the great benefits offered to eligible co-workers, including those working 32 hours or more per pay period!We’re bringing to life a healing ministry through compassionate care.At Mercy, our supportive community will be behind you every step of your day, especially the tough ones. You will have opportunities to pioneer new models of care and transform the health care experience through advanced technology and innovative procedures. We’re expanding to help our communities grow. Join us and be a part of it all.What Makes You a Good Match for Mercy?Compassion and professionalism go hand-in-hand with us. Having a positive outlook and a strong sense of advocacy is in perfect step with our mission and vision. We’re also collaborative and unafraid to do a little extra to deliver excellent care - that’s just part of our commitment. If that sounds like a good fit for you, we encourage you to apply.