Ventas
Machine Learning Engineer
IL - Chicago, USA · Senior
No sponsorship$135k-$190kDetected 91 days ago
PythonGitSQLAWSCI/CDMachine LearningTensorFlowPyTorchData EngineeringData ScienceLLMsMLOpsResearchCollaboration
About the role
- This role sits at the intersection of software engineering and data science, with a strong focus on scalable ML systems, model lifecycle management, and integration with enterprise platforms.
- The ideal candidate is hands‑on, technically strong, and comfortable operating in a fast‑paced, cross‑functional environment.
- Integrate machine learning models into enterprise applications, APIs, and data platforms.
Responsibilities
- Build and maintain end‑to‑end ML pipelines, including data ingestion, feature engineering, training, evaluation, and inference.
- Implement MLOps best practices, including CI/CD, model versioning, monitoring, and retraining strategies.
- Optimize model performance, scalability, reliability, and cost efficiency in production environments.
- Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value.
- The IT team delivers technology solutions that enable efficiency, security, and innovation across the enterprise.
- The team manages infrastructure, cybersecurity, and digital tools that power collaboration and decision-making.
- IT plays a critical role in building a scalable, future-ready foundation for continued success.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent experience.
- Must be located in the Chicago, IL surrounding area or willing to relocate for the duration of employment.
- Strong experience with AWS SageMaker for data preparation, pipelines, and model deployment.
- Experience with Git and modern software engineering best practices.
- Familiarity with SQL (including T‑SQL) and experience working with relational and geospatial databases.
- Must be legally authorized to work in the United States without need for employer sponsorship now or in the future.
- 5+ years of experience building and deploying machine learning models in production environments.
- Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit‑learn.
- Understanding of Agile development practices and comfortable working in evolving, ambiguous environments.
- The estimated base salary range for this position is $135,000 - $190,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
- In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
- #LI-Hybrid
Nice to have
- Experience with retrieval‑augmented generation or generative AI solutions is a plus.
Compensation
- The estimated base salary range for this position is $135,000 – $190,000 per year.
Benefits
- Ventas is a leading S&P 500 company enabling exceptional environments that benefit a large and growing aging population.
- Design, develop, train, and deploy machine learning models using supervised and unsupervised techniques (e.g., regression, classification, clustering, anomaly detection).
- Communicate complex machine learning concepts and results clearly to technical and non‑technical stakeholders.
- The Machine Learning Engineer is responsible for designing, building, deploying, and maintaining production‑grade machine learning solutions that drive business value across the enterprise.
Visa & Work Authorization
- Must be legally authorized to work in the United States without need for employer sponsorship now or in the future.
This listing is sourced directly from Ventas's careers page and normalized into a canonical job model.