Lead Machine Learning Engineer
FinOps
Hybrid - New York, NY
$200,000 - $230,000 + Equity
We are working with a cutting-edge AI-powered cloud finance optimization platform that helps businesses reduce cloud costs through automation and machine learning. Their AI-driven tools provide real-time insights, cost-saving strategies, and automated financial operations.
The Role:
As a Lead Machine Learning Engineer, you will develop and optimize AI/ML models for forecasting, anomaly detection, financial risk modeling, and LLM-based chat agents. This role involves both machine learning and software engineering, working alongside backend engineers in a highly collaborative environment. Other responsibilities include:
- Develop and improve ML models for cost forecasting and risk analysis.
- Optimize LLM-based applications for internal tools and customer-facing products.
- Design scalable data architectures to support AI/ML workflows.
- Integrate ML models into backend systems for seamless functionality.
- Maintain cloud-based ML infrastructure using AWS and Terraform.
Requirements:
- Strong experience in Python (ML & data science libraries), AWS, Terraform, and SQL.
- Software engineering and data engineering expertise.
- Ability to work in a fast-paced, high-growth environment.
- Experience with end-to-end ML solutions, beyond just model building.
- Background in Computer Science, Physics, Math, or related fields preferred.
- Excellent communication skills and a hands-on approach to solving complex problems.
The Benefits:
Base salary of $180,000 - $220,000 plus equity, 401(k), health, dental, and vision benefits.
How to Apply:
Please register your interest by sending your resume via the Apply link on this page.
Key Words:
Machine Learning, AI, Python, AWS, Terraform, LLM, FinOps, Cost Optimization, Cloud Infrastructure, Data Engineering, Anomaly Detection, Forecasting, Financial Modeling