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.

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.

• 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.

• 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…