Harnham
Business Manager – Machine Learning, LLMs, Generative AI & MLOps at Harnham
Lead MLOps Software Engineer
New York, New York
$200,000-220,000 base salary + equity + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building an LLM platform that will revolutionize how financial tasks are performed in the cloud. This role is a tech‑lead MLOps Engineer who will lead all LLM projects from end to end.
THE ROLE
End‑to‑end machine learning model development and deployment for the AI platform.
Report directly to senior leadership and work closely on technical direction.
Own development of new PoCs and quickly build them into production, focusing on novel NLP and LLM applications.
Implement design code and build out production using various ML and LLM techniques, owning ML infrastructure.
Own CI/CD pipelines for MLOps / LLMOps.
Play an integral role in building out the AI team and scaling the product.
Act as a thought leader for AI across the business.
YOUR SKILLS AND EXPERIENCE
5+ years of commercial experience focused on building and deploying natural language and LLM models.
Experience working in a scaling startup is highly 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.
DevOps experience with CI/CD pipelines required.
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 accounting a plus.
History of partnering with non‑technical stakeholders required.
Experience as a player/coach or manager for AI teams preferred.
BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar.
THE BENEFITS A competitive base salary of $200,000-220,000 + 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 | MLOps | LLMOps | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment
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New York, New York
$200,000-220,000 base salary + equity + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building an LLM platform that will revolutionize how financial tasks are performed in the cloud. This role is a tech‑lead MLOps Engineer who will lead all LLM projects from end to end.
THE ROLE
End‑to‑end machine learning model development and deployment for the AI platform.
Report directly to senior leadership and work closely on technical direction.
Own development of new PoCs and quickly build them into production, focusing on novel NLP and LLM applications.
Implement design code and build out production using various ML and LLM techniques, owning ML infrastructure.
Own CI/CD pipelines for MLOps / LLMOps.
Play an integral role in building out the AI team and scaling the product.
Act as a thought leader for AI across the business.
YOUR SKILLS AND EXPERIENCE
5+ years of commercial experience focused on building and deploying natural language and LLM models.
Experience working in a scaling startup is highly 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.
DevOps experience with CI/CD pipelines required.
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 accounting a plus.
History of partnering with non‑technical stakeholders required.
Experience as a player/coach or manager for AI teams preferred.
BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar.
THE BENEFITS A competitive base salary of $200,000-220,000 + 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 | MLOps | LLMOps | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment
#J-18808-Ljbffr