Machine Learning Engineer – Data Extraction

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Remote, Must Be EAST COAST TOME ZONE / $180000 - $210000 annum

INFO

Salary
SALARY:

$180000 - $210000

Location

LOCATION

Remote, Must Be EAST COAST TOME ZONE

Job Type
JOB TYPE

Permanent

Machine Learning Engineer (Data Extraction)

Remote - Eastern Time Zone

$180,000 - $210,000

THE COMPANY

Harnham 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

·Deal with large amounts of unstructured data sets (pdfs, docs, images) and utilize OCR to make them production ready

· 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

· 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

· Experience working with an array of models (recommendation models, NLP, LLM, search) in an full end -to-end setting, seeing the models through deployment

· Vast experience within LLM and OCR is essential

· Previously dealt with different sources of data

· 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

BENEFITS

As a Machine Learning Engineer ( Data Extraction ), you can expect to earn up to $210,000 (depending on experience), highly competitive benefits and equity.

HOW TO APPLY

Please register your interest by sending your Resume to Grace McCarthy via the Apply link on this page

KEYWORDS

Machine Learning | AI | Python | SQL | Deep Learning | Data Modeling | RAG | NLP | LLM | Start Up | Recommendation Systems

CONTACT

SIMILAR
JOB RESULTS

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