Role & Company Overview
📋 Role Overview & Responsibilities
Senior MLOPS Engineer (LLM)Remote – Eastern Time Zone$180,000 - $200,000
THE COMPANYHarnham is currently partnered with a data driven fintech company that is spreading innovation across the construction industry. Their founding team comes from big tech organizations (LinkedIn, Uber, SpaceX) where they have successfully built and deployed software into the construction space. The ideal candidate will have a proven track record of leveraging machine learning and artificial intelligence to drive business insights and improve operational efficiency and a high level individual contributor.
THE ROLE· Build efficient and scalable model pipelines· Lead creation and growth phases for models both currently in process and ones already in production· Find gaps in the market where there is room for growth or experimentation· Optimize data infrastructure with current and new data · Collaborate with leadership team and C-Suite to identify opportunities for growth and innovation within data & analytics
YOUR SKILLS AND EXPERIENCE· Prior experience within hyper growth start up environment or construction industry· Extensive LLM experience necessary· Experience working with an array of models (recommendation models, NLP, LLM, search) in an full end -to-end setting, seeing the models through deployment· Proven success driving a project 0-1, from ideation through deployment· RAG experience is a plus· Currently working with large unstructured data sets· Bachelors or Masters in STEM field ; computer science, engineering, mathematics· Proficiency and experience within PowerBI, Python, SQL, Microsoft Dataverse
BENEFITSAs a Senior MLOPS Engineer, you can expect to earn up to $200,000 (depending on experience), highly competitive benefits and equity.
HOW TO APPLYPlease register your interest by sending your Resume to Grace McCarthy via the Apply link on this page
KEYWORDSMachine Learning | MLOPS | LLM | AI | Python | SQL | Deep Learning | Data Modeling | RAG | NLP | Start Up | Recommendation Systems
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