Harnham
Senior Machine Learning Engineer
New York, New York
$190,000-210,000 base salary + bonus + benefits
Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE You will be responsible for end-to-end machine learning model development and deployment for the company's AI platform You will report directly to senior leadership and work closely on technical direction Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure 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 YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer will likely have the following skills and experience:
3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models Experience working in a fast-moving organization is preferred Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel NLP and LLM AI platforms with large datasets Cloud experience in AWS, Azure or GCP preferred History of working on models from concept to production / end-to-end / 0-1 Experience in settings wearing multiple hats Domain experience in financial services, investment or private equity a plus History of partnering with non-technical stakeholders required Experience as a player/coach or manager for AI teams preferred PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + 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 | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
New York, New York
$190,000-210,000 base salary + bonus + benefits
Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE You will be responsible for end-to-end machine learning model development and deployment for the company's AI platform You will report directly to senior leadership and work closely on technical direction Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure 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 YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer will likely have the following skills and experience:
3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models Experience working in a fast-moving organization is preferred Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel NLP and LLM AI platforms with large datasets Cloud experience in AWS, Azure or GCP preferred History of working on models from concept to production / end-to-end / 0-1 Experience in settings wearing multiple hats Domain experience in financial services, investment or private equity a plus History of partnering with non-technical stakeholders required Experience as a player/coach or manager for AI teams preferred PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + 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 | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture