Software Engineer, MLOps

Health Data Analytics Institute; Dedham (MA); On-site; USD 130,000 - 190,000; Full time

Job summary

Health Data Analytics Institute in Dedham, MA is seeking a Software Engineer to own the productionization of predictive risk models and deliver real-time risk scores for clinical conditions. You will also build and maintain LLM-powered services that surface actionable insights for care teams.

You will work closely with data scientists, cloud engineers, and clinical stakeholders to translate requirements into robust systems, while embracing ambiguity and rapid learning in a startup-like

Qualifications

• 4+ years in a data science or ML/ML-Ops role with production experience.
• Experience taking ML models from development into production and monitoring.
• Hands-on with LLM-integrated services, prompt design, and failure modes.
• Strong Python or R coding skills and cloud platform experience.
• Familiarity with Docker; experience in an agile/scrum environment.
• Ability to operate in ambiguous, fast-moving settings and communicate clearly.

Responsibilities

• Own the productionalization of predictive risk models and real-time scores.
• Build and maintain LLM-powered services on AWS Lambda and Bedrock.
• Collaborate with data science to plan model releases and new features.
• Uphold code quality, performance, and agile process standards.
• Foster learning, ownership, and innovation within the ML Operations team.

Skills

Data science background

ML engineering

MLOps

Python

R

Cloud platforms (AWS, Azure, GCP)

Docker

Git

Agile/Scrum

Tools

AWS Lambda

Amazon Bedrock

Terraform

Job description

About Us

Health Data Analytics Institute (HDAI) is a commercial-stage HealthTech company. Our Intelligent Health Management System, HealthVision™, is a first-in-class enterprise solution leveraging real-time predictive analytics and generative AI to deliver improved outcomes, efficiencies, and economics for health systems and value-based care organizations.

HDAI is located in Dedham, MA near the Dedham Corporate Center Commuter Rail station on the Franklin/Foxboro line (25 minutes from Back Bay and South Station, Boston) and I-95/128.

Summary

We are looking for a Software Engineer to join the ML Operations team at HDAI. You will own the services that bring HealthVision™’s predictive intelligence to life, taking data science risk models and delivering real-time risk scores for clinical conditions and events. You will also build and maintain LLM-powered services that surface actionable insights to clinicians and care teams.

This role requires someone who is energized rather than frustrated by ambiguity. At HDAI, requirements evolve as we scale to new health system partners and deepen our AI capabilities, and the best engineers here are the ones who can orient quickly, make sound decisions with incomplete information, and move the work forward without waiting for a perfect specification. You will work closely with data scientists, cloud engineers, and clinical stakeholders — translating between those worlds is a core part of the job. At HDAI, we nurture a culture of continuous improvement, and one of the best assets of our engineers is a love for learning. A successful candidate will demonstrate strong ownership, clear communication, and sound technical judgment.

Responsibilities

Own the productionalization of predictive risk models — this is the core of the role. Take data science artifacts from development into reliable, monitored production services that serve real-time risk scores, and become the internal expert on how our model delivery pipeline works end to end.

Build and maintain LLM-powered services on AWS Lambda and Amazon Bedrock that summarize clinical data and generate inferences to support care decisions.

Partner with data science to plan new model releases and new data science features for the platform.

Champion standards for code quality and application performance; maintain software using agile best practices including bug fixes, release notes, documentation, and backlog grooming.

Contribute to a culture of continuous learning, growth, and innovation within the ML Operations team and across the broader engineering organization.

Minimum Qualifications

4+ years of working experience in a data science role, as a machine learning engineer, or as an MLOps engineer with a background in mathematics, statistics, computer science, or an equivalent quantitative field of study.

Demonstrated experience taking machine learning models from development into production — you understand the full lifecycle from model artifact handoff through inference, monitoring, and maintenance.

Hands-on experience building and operating LLM-integrated services, including prompt design, output validation, and managing the failure modes of generative AI in production.

Extensive coding experience in Python, R, or similar data/statistical programming language.

Familiarity with managing cloud platforms (AWS, Azure, GCP) and Docker; experience with Terraform is a plus.

Proficient in implementing event-driven architectures composed of stateless services.

Comfortable working with Git and on a team using agile/scrum.

Demonstrated ability to operate effectively in ambiguous, fast-moving environments — you can set direction and make progress when requirements are incomplete or evolving.

Experience in healthcare or an adjacent regulated industry is a plus.

Experience in a startup environment is preferred.

Excellent interpersonal skills with demonstrated ability to effectively communicate with internal and external teams; ability to develop trust, cooperation, and mutual respect.

HDAI is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.