Senior MLOps Engineer

Senior MLOps Engineer at Harnham Senior MLOps Engineer at Harnham in Hoboken, New Jersey Posted in about 24 hours ago.

Type:

full-time

Job Description:

Senior MLOps Engineer New York, New York - 4 days onsite $160,000 - $180,000 + bonus

THE COMPANY

Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.

RESPONSIBILITIES

You will be responsible for machine learning model deployment and scalability for the company's AI platform You will report directly to senior leadership and work closely on technical direction Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems Own CI/CD pipelines for MLOps / LLMOps You will play an integral role of building out the AI team and scaling out its product Act as a thought leader role for AI across the business

SKILLS AND EXPERIENCE

5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel AI platforms with large datasets History of working with and managing real-time AI applications in production settings Fluency with low-latency distributed systems is preferred Cloud experience in AWS, Azure or GCP DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform Container experience with Docker or similar History of working on models from concept to production / end-to-end / 0-1 Software engineering foundation: debugging, testing, maintainable code design Domain experience in fintech or similar a plus History of partnering with non-technical stakeholders required Experience owning projects directly preferred BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar

BENEFITS

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

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform