Intelletec has partnered with an impact-driven healthcare company, looking to make quality care more accessible and affordable. They are seeking a Director, Machine Learning Engineer to join the team in Texas.

You will own the MLOps CI/CD/CT strategy for deploying machine learning solutions at scale for current and future capabilities, whilst being passionate about building machine learning applications that ensure patients receive the medications they need.

Responsibilities:

Create the roadmap for next-generation data science workbench integrated with our new data mesh
Recruit top talent machine learning engineers to join your team. Drive adoption of best-in-class capabilities, including Deep Learning, Natural Language Processing, and Next Best Action Recommenders.
Build, scale, deploy, and manage data science solutions in a multi-cloud environment to provide predictive insights that further the mission to improve care in every setting.
Communicate strategy and results to technical and non-technical audiences; Develop and maintain strong relationships with key stakeholders, partners, and internal clients.
Manage business stakeholder relationships to drive action and value from data science insights
Partner with digital accelerators, universities, and consultants to accelerate innovation; Opportunities to co-author peer-reviewed publications and patent your AI/ML innovations
Solve problems from the business point of view, build and execute solid analytics work plans, gather and organize large and complex data assets.

Skills:

Bachelors or higher with relevant experience in machine learning; and software engineering, architecture, and design is required. The degree should be in computer science, applied mathematics, operation research or machine learning.
10 years of relevant experience in machine learning; and software engineering, architecture, and design is required.
At least 3 years of management and mentorship experience with machine learning engineers/data scientists in business or scientific research settings.
Expert experience in one or more programming languages, Python plus Java, C/C++, …
Expert experience with MLOps, CI/CD/CT, scalable ML deployment (e.g. MLFlow, Kubeflow, Docker, Kubernetes)
Expert experience with cloud computing in Azure or GCP
Experience with distributed computing: (e.g. Databricks, Apache Spark, Hadoop…)
Experience with data pipelines, streaming architecture (Kafka), data engineering, creating feature stores, processing unstructured and structured data at scale.
Industry experience using TensorFlow and Pytorch to develop Representation Machine Learning Systems; e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Image understanding; Document classification and keyword extraction

Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g. regression, classification, Time Series analysis: e.g. ARIMA, Traditional machine learning methods: e.g. Random Forest, ensemble model techniques, Optimization: e.g. linear programming

Perks:

Competitive base salaries and bonus
Paid parental leave
Wellness rebates
401k

Director, Machine Learning Engineer | Healthcare