Lead Machine Learning Engineer, Janus Health
Powering operational efficiency in healthcare
Job no longer available
Powering operational efficiency in healthcare
101-200 employees
Job no longer available
101-200 employees
Company mission
To empower health systems and its operational workforce to achieve more and reduce the cost of care nationwide.
Role
Who you are
- 5+ 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
What the job involves
- This role collaborates 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
- This person will help manage a growing team and provide critical mentorship and guidance to junior team members
- Collaborate with Data Scientists and product teams to understand user stories and convert them into technical requirements for machine learning solutions
- Manage, mentor, and provide technical guidance to junior team members, promoting knowledge sharing and professional growth
- 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
Our take
Every year, the healthcare industry loses billions of dollars in uncollected payments. Janus Health solves this problem by improving processes and decision making.
Janus Health uses real-time predictive recommendations to guide human workers throughout the healthcare claim cycle. It also automates processes in order to boost productivity. This combined approach saves healthcare companies valuable time and money, and reduce the cost-to-collect.
Janus Health is tapping into a lucrative market gap, which will help to ensure that the company scales accordingly in the next five years. Substantial funding will support its rapid market expansion, as well as product development and go-to-market initiatives.
Freddie
Company Specialist at Welcome to the Jungle
Insights
78% employee growth in 12 months
Company
Funding (1 round)
Dec 2021
$8m
SERIES A
Total funding: $8m
Company benefits
- Employee stock options
- Flexible schedule & environment
- Unlimited PTO
- Health, dental & vision
- 401k
- 10 company holidays
Company HQ
Chicago Loop, Chicago, IL
Leadership
Brendan Downing
(Board Member & Founder)Started out as a Revenue Cycle Project Manager at Epic, and was CEO of Falcon Consulting Group. Served as President of XSELL Technologies.
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