- You will deploy machine learning and LLM models to support new and existing platforms in finance
- You will report directly into the VP of Engineering and work closely on technical direction
- Own development of new PoCs and quickly build into production, using millions of pages of data per project
- You will implement and design code and build out to production using various machine learning and LLM techniques
- Potential to grow into thought leader role for MLOps within the business
- 4+ years of commercial experience preferred with a focus on deploying machine learning models
- Experience working in a startup highly preferred
- Heavy experience using Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- Cloud experience in AWS preferred
- History of working on models from concept to production / end-to-end
- Familiarity with advanced machine learning approaches relating to large language models / LLMs
- Experience in settings wearing multiple hats
- History of partnering with non-technical stakeholders a plus
- BS or MS degree in Computer Science, Computer Engineering or similar
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MLOps Engineer - New York, United States - Harnham
Description
MLOps Engineer - LLMs
REMOTE
$160,000-180,000 base salary + equity + benefits
Harnham is partnered with a dynamic fintech startup in the New York City area. They are looking for a Machine Learning Operations Engineer with a background in deploying and scaling large-scale ML/AI platforms using financial data. This person will sit in their Engineering team and partner with stakeholders across the business.
THE ROLE
YOUR SKILLS AND EXPERIENCE
The successful MLOps Engineer will likely have the following skills and experience:
THE BENEFITS
A competitive base salary of $160,000-180,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | MLOps | Machine Learning Operations | Technology | LLMs | Large Language Models | Artificial Intelligence | Deployment | Production | Startup | AI | Artificial Intelligence | Fintech | AWS | Python