Senior Data & AI/ML Engineer

Wellfit Technologies•Irving, TX

2d•$145,000 - $165,000

About The Position

Wellfit is seeking a Senior Data & AI/ML Engineer to help 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.

Requirements

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.
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 Haves

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.

Responsibilities

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.