Senior Data & AI/ML Engineer

About Wellfit:
Wellfit is the dental industry’s fintech solution. We help remove financial barriers between patients, providers, employers, and payors by creating technology that improves access to treatment, financial transparency, and operational efficiency.

As a profitable and growing healthcare fintech company, Wellfit is investing heavily in AI, data, and modern technology to better understand our business, support our customers, and create new opportunities for growth. We have a significant amount of data across our platform, products, transactions, practices, patients, providers, and business operations — and we are looking for someone who can help turn that data into meaningful insight, scalable intelligence, and future product value.

About the Role:
We are seeking a Senior Data & AI/ML Engineer to help Wellfit unlock the value of its data through applied AI, machine learning, analytics, and production-ready data products.

This is a hands-on, business-facing technical role for someone who can work deep in the data, understand business context, identify patterns and anomalies, and help translate insights into action. The right person will not only know how to build models, train models, use models for inference, and work with modern data platforms — they will also understand why the data matters and how it can help the business grow.

This role is ideal for someone who has strong data and AI/ML grounding, can operate with high initiative, and wants the opportunity to build something meaningful using modern tools. You will help Wellfit identify opportunities, understand performance variance across practices and product lines, uncover correlations, and develop insights that can support better decision-making, stronger customer outcomes, and future product monetization.

What You’ll Do:

• Own hands-on AI/ML and data engineering work focused on understanding, mining, and productizing Wellfit’s data.


• Train, evaluate, and apply models for inference, insight generation, anomaly detection, and business intelligence use cases.


• Partner with technology and business leaders to understand what the data is telling us, why it matters, and how it can be used to improve business outcomes.


• Identify anomalies, trends, correlations, and variances in performance across practices, products, transactions, demographics, service types, and customer behavior.


• Help uncover opportunities related to product performance, plan adoption, transaction volume, collections, fraud, customer growth, and other business-critical areas.


• Build data-driven solutions that can support consultative insights for customers, helping practices understand how to grow and keep their business healthy.


• Work with modern AI/data platforms, preferably within the Microsoft ecosystem, including Microsoft Fabric, Azure AI Foundry, Azure data services, and related tools.


• Translate experience from other modern data/AI ecosystems, such as AWS, Databricks, Bedrock, or similar platforms, into Wellfit’s Azure-centric environment.


• Develop prototypes, proof-of-concepts, and production-ready solutions that can scale beyond experimentation.


• Collaborate with engineering, product, data, operations, and executive stakeholders to turn raw data into usable intelligence.


• Communicate insights clearly to both technical and non-technical audiences, including the business problem, the data pattern, the recommendation, and the expected impact.


• Ask strong follow-up questions, challenge assumptions, identify gaps, and elevate the conversation rather than simply executing instructions.


• Bring high initiative, curiosity, and ownership to a greenfield-style opportunity where there is room to build, influence, and shape the future of AI and data at Wellfit.

What We’re Looking For:

• 5+ years of professional experience in data engineering, analytics engineering, machine learning, AI/ML engineering, applied data science, or a related technical field.


• Strong hands-on experience working with business data, identifying patterns, and translating data into insights or solutions.


• Experience with AI/ML concepts including model training, inference, evaluation, and applied machine learning use cases.


• Strong technical foundation in data pipelines, data modeling, analytics, experimentation, and production-grade data solutions.


• Experience with modern cloud-based data and AI platforms.


• Preferred experience with Microsoft Fabric, Azure AI Foundry, Azure Machine Learning, Azure data services, or other Microsoft data/AI tools.


• Comparable experience with AWS, Databricks, Bedrock, Snowflake, or similar platforms is also valuable, especially if you can translate that knowledge into an Azure-centric environment.


• Ability to connect technical work to business value. You should be able to explain not just what you built, but why it mattered, what business problem it solved, and what impact it created.


• Strong communication skills with the ability to explain complex data findings clearly and practically.


• A builder mindset. This role requires someone who can work in the weeds, pull out the data, make sense of it, and help build something from the ground up.


• High initiative, intellectual curiosity, and the ability to operate without heavy hand-holding.


• Comfort working in a fast-moving, entrepreneurial environment where the opportunity is not simply to maintain existing reports, but to create new intelligence, products, and business value.

Nice to Have:

• Experience turning data or AI/ML capabilities into customer-facing or revenue-generating products.


• Experience supporting executive decision-making through data-driven insights.


• Experience in fintech, healthcare, payments, lending, insurance, SaaS, marketplace platforms, or other transaction-heavy environments.


• Experience with anomaly detection, customer segmentation, predictive analytics, recommendation systems, forecasting, or business performance modeling.


• Experience working with demographic, transactional, operational, or customer behavior data.


• Python experience for data analysis, ML development, automation, and prototyping.


• Experience with SQL, data warehouses/lakehouses, APIs, and production data environments.


• Familiarity with .NET or working in a Microsoft-heavy engineering environment.

Who Will Thrive Here:
You will thrive in this role if you are the kind of person who sees data and immediately starts asking better questions:

• Why is this happening?


• What is different about this customer, practice, transaction, or product line?


• What pattern are we missing?


• What business problem does this reveal?


• How could this insight become a product, feature, recommendation, or revenue opportunity?

We are not looking for someone who only builds dashboards or only talks about AI at a buzzword level. We are looking for someone who can go deep technically, understand the business context, and turn insight into action.

This is a role for someone hungry, sharp, and ready to build. You will have access to modern tools, flexibility, and the opportunity to help shape how Wellfit uses AI and data across the business.

Why Wellfit

At Wellfit, you will not be buried under layers of bureaucracy or limited to maintaining old technology. You will have the opportunity to work with modern tools, influence strategy, and build practical AI/data solutions that can directly impact the business. We have a large amount of valuable data that is not yet being mined to its full potential. This role exists to change that.

You will help create the intelligence that allows Wellfit to better serve customers, support practices, improve product performance, identify growth opportunities, and build data-driven products that make Wellfit more valuable to the market.

$145,000 - $165,000 a year

Alongside a competitive annual bonus, we offer a 401(k) with up to a 4% match, generous paid time off, and comprehensive healthcare benefits.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.