Senior MLOps Engineer / MLFlow / DVC
Chicago, Illinois
Hybrid
Direct Hire
$140k - $200k
A leading growth and venture investment firm with over $25B under management is hiring a Software Engineer, Machine Learning Operations (MLOps) to help shape the next generation of its proprietary data and analytics platform. This firm invests in category-defining companies — from AI and aerospace to advanced manufacturing and health — and differentiates itself by building technology internally that fuels smarter, faster investment decisions. Their engineering and data science teams work side-by-side with investment leaders to transform how insight and operational excellence are created.
In this role, you’ll be part of a small, high-caliber team developing production-grade ML systems that power critical investment workflows. You’ll design and deploy scalable infrastructure for model training, deployment, and monitoring — integrating directly with real-time data pipelines and internal APIs. The environment is modern (Python, PyTorch, Kubernetes, GCP, Terraform, BigQuery) and collaborative, blending research experimentation with rigorous engineering. If you’re the kind of engineer who thrives on ownership, loves building things that actually make an impact, and wants to sit at the intersection of machine learning, data, and real-world business decisions, this is that rare opportunity to do it at scale — inside one of the most forward-thinking firms in the industry.
Required Skills & Experience
Tech Breakdown
#DK-1
In this role, you’ll be part of a small, high-caliber team developing production-grade ML systems that power critical investment workflows. You’ll design and deploy scalable infrastructure for model training, deployment, and monitoring — integrating directly with real-time data pipelines and internal APIs. The environment is modern (Python, PyTorch, Kubernetes, GCP, Terraform, BigQuery) and collaborative, blending research experimentation with rigorous engineering. If you’re the kind of engineer who thrives on ownership, loves building things that actually make an impact, and wants to sit at the intersection of machine learning, data, and real-world business decisions, this is that rare opportunity to do it at scale — inside one of the most forward-thinking firms in the industry.
Required Skills & Experience
- BS in CS, ML or related field
- 5+ years of experience building high performance and/or financial systems
- Experience building production software in Python
- 2+ years of building Machine Learning infrastructure
- Experience with MLOps tooling like MLFlow or DVC
- Strong communicator that thrives in a fast-paced environment
- Financial services experience is a plus
Tech Breakdown
- Python (Pandas, NumPy, PyTorch)
- MLOps
- GCP Infrastructure
- CI/CD
- Data Processing
- 80% Hands-on
- 20% Team Collaboration
- Competitive Bonus
- Comprehensive Benefits
- Flexible PTO
- 3 Days in West Loop office, 2 days WFH
#DK-1