About the Role
We are seeking a Lead AI & Machine Learning Engineer to join our innovative team at Milliman IntelliScript. This remote position offers an exciting opportunity to work on cutting-edge AI and machine learning projects that directly impact the healthcare and insurance industries. As a key contributor, you will leverage your expertise to enhance our Models as a Service (MAAS) initiative and drive the development of sophisticated AI solutions.
What You'll Do
- Lead the end-to-end development, deployment, and maintenance of AI infrastructure and applications, ensuring seamless integration with IT and Product teams.
- Collaborate with cross-functional teams to align technical and product objectives, driving model and feature delivery from ideation through deployment.
- Provide technical guidance, reviews, and mentorship to junior team members, fostering a culture of excellence and continuous improvement.
- Contribute to complex data science projects requiring ML engineering expertise and knowledge of medical claims and Electronic Health Records (EHR).
- Develop, deploy, and industrialize advanced GenAI and machine learning solutions for healthcare and insurance markets.
Requirements
- 10+ years of experience in machine learning engineering, GenAI, and data science, preferably in healthcare, insurance, or clinical trials.
- Expert level knowledge of Python and SQL, with experience in R and PySpark.
- Proven ability to manage projects and timelines, directing the work of others as needed.
- Strong programming aptitude with experience in cloud-based analytical solutions and distributed computing (e.g., Databricks).
- Ability to create CI/CD workflows using GitHub and Infrastructure as Code (IaC) technologies such as Terraform.
Nice to Have
- Degree in a relevant field (computer science, data science, statistics, etc.).
- Experience working in a HIPAA/PHI/PCI compliant environment.
What We Offer
- Competitive salary range of $147,400 - $279,680, depending on location and experience.
- Comprehensive benefits package including medical, dental, and vision coverage.
- 401(k) plan with company matching and profit-sharing contributions.
- Paid Time Off (PTO) starting at 15 days per year, with additional holidays and family building benefits.
- Opportunities for professional development and career advancement.
This Lead AI & Machine Learning Engineer role offers a unique opportunity to work remotely while driving innovation in healthcare technology. With a competitive salary and comprehensive benefits, it's an attractive position for experienced professionals.
Who Will Succeed Here
Expertise in Python and R for developing complex machine learning models, with a strong understanding of libraries such as TensorFlow and Scikit-learn to drive AI initiatives.
Proficient in cloud technologies, especially AWS and Terraform, enabling efficient deployment and management of ML models in a scalable environment, suitable for remote collaboration.
Strong experience with CI/CD practices using GitHub to ensure seamless integration and deployment of machine learning solutions, fostering a culture of continuous improvement and innovation.
Learning Resources
Career Path
Market Overview
Skills & Requirements
Domain Trends
Industry News
Loading latest industry news...
Finding relevant articles from the last 6 months