Harnham
Overview
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level NLP 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
5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally) 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 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 | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture Seniority level
Mid-Senior level Employment type
Full-time Job function
Science and Engineering
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Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level NLP 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
5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally) 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 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 | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture Seniority level
Mid-Senior level Employment type
Full-time Job function
Science and Engineering
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