Machine Learning Engineer

MDVIP: Transforming Primary Care, One Patient at a Time

MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work® since 2018, MDVIP is committed to excellence in patient care and employee satisfaction. 

MDVIP is seeking a highly motivated AI/ML Engineer to lead the development, deployment, and automation of AI/ML solutions. This role combines deep machine learning expertise with strong engineering and MLOps skills to build and productionalize predictive models, ensure scalable automation, and deliver measurable business value. The ideal candidate will thrive at the intersection of AI, data engineering, and platform reliability.

You’ll collaborate with data scientists, analysts, engineers, and stakeholders across the organization to design AI products that are robust, interpretable, and continuously improving in performance. This is a high impact shaping the AI vision across MDVIP.

Model Development & Deployment

• • Build predictive models end to end, from data acquisition to deployment and monitoring in production.
  • Leverage advanced AI tools and platforms, including generative AI, LLMs (e.g., GPT-based models), and embedding techniques, to enhance model performance, decision-making, and productivity.
  • Apply MLOps best practices to monitor model performance, detect data/model drift, and automate retraining when thresholds are breached.
  • Build feature pipelines from structured and unstructured data across sources like SQL Server, Databricks, and Salesforce.

AI Solutions & Innovation

• • • Engage in AI-powered solutions that integrate NLP, intelligent agents, and knowledge-based systems for clinical, operational, and customer-facing use cases.
    • Evaluate and fine-tune pretrained models and APIs to accelerate development and reduce time to value.
    • Continuously research and assess emerging AI/ML trends and tools for potential adoption.

MLOps and Automation

• • Build and maintain robust CI/CD pipelines for ML workflows using tools like MLflow, Airflow, Docker/Kubernetes, and GitHub Actions.
  • Drive automation of training, scoring, and monitoring pipelines to support scalability and reliability.
  • Ensure compliance with privacy regulations (e.g., HIPAA) and ethical AI practices.

Cross-Team Collaboration

• • Collaborate across teams—engineering, operations, marketing, and analytics—to define and execute AI/ML roadmaps that bring measurable value to our members.
  • Contribute directly through hands-on development and architectural leadership of AI/ML systems.
  • Effectively present AI solutions to both technical and non-technical stakeholders, including executives.

Mentorship & Standards

• • Share AI/ML best practices and mentor Jr team members and engineers on responsible AI, efficient model development, and technical excellence.
  • Promote a strong experimentation culture and maintain high standards for code quality, testing, and documentation.

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 4 - 8 years of experience in building and deploying ML and AI systems in production.
• Strong programming experience in Python, with deep knowledge of ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with MLOps tools such as MLflow, Airflow, Docker/Kubernetes, and model registries.
• Solid understanding of cloud infrastructure (preferably Azure) and data engineering practices using Spark, SQL, and Databricks.
• Excellent verbal and written communication skills with the ability to explain technical concepts to diverse audiences.

• Familiarity with LLMs, transformers, vector databases, and AI search.
• Experience with AI platforms and services (e.g., Azure OpenAI, Hugging Face, LangChain, Pinecone, or similar).
• Experience in healthcare, preventive medicine, or regulated industries.
• Working knowledge of Snowflake and modern data stack tools.
• Exposure to A/B testing, causal inference, and explainable AI (XAI).
• Awareness of ethical AI, data bias, and governance principles.

Why Join MDVIP?

• Be part of a mission-driven organization leading innovation in personalized healthcare.
• Drive transformation and growth in a dynamic, fast-paced environment.
• Competitive compensation: attractive base salary complemented by performance-based incentives for eligible roles.
• Comprehensive benefits: health, dental, vision insurance, and retirement plans.
• Professional development: access to ongoing training and leadership development programs.
• Positive work environment: consistently recognized as a Great Place to Work®, fostering a culture of collaboration and excellence. 

MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture.

If you require accommodation during the application or interview process, please let us know, and we will be happy to assist. 

Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law.