Janus Health
Machine Learning Engineer
Janus Health, Chicago, Illinois, United States, 60290
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.Summary
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.Responsibilities
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.Qualifications
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.Excellent communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.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.Experience working in a high-growth environment is preferred.Equal Opportunity Statement
Janus is an equal opportunity employer. We hire great people from a wide variety of backgrounds and appreciate our differences. 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 you require reasonable accommodation, please contact the People team.E-Verify
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. 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. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.
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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.Responsibilities
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.Qualifications
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.Excellent communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.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.Experience working in a high-growth environment is preferred.Equal Opportunity Statement
Janus is an equal opportunity employer. We hire great people from a wide variety of backgrounds and appreciate our differences. 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 you require reasonable accommodation, please contact the People team.E-Verify
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. 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. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.
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