Senior AI Engineer

• Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
• Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

• BS/MS degree in Computer Science, Machine Learning or a related field.
• Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
• Background in Software Engineering required.
• Enterprise-level application experience, ideally in real-time preferred.
• Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
• Experience as a tech-lead for scaling MLE teams preferred.
• Commercial experience in smaller teams, scaling startups / scrappy environments a plus.

The compensation package contains a base salary, bonus and a comprehensive benefits package.

Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.