Job Summary: We are on the lookout for a seasoned LLM/GPT Data Scientist to
bolster our innovative team. As a part of Alpha.AI, you'll play an
instrumental role in crafting, training, and customizing advanced GPT designs
pertinent to LLM with a focus on leveraging enterprise data for finance, M&A,
and beyond. The candidate will exhibit mastery in Python coding, deep
understanding in data science (DS), ML, and AI, and the prowess to
independently navigate intricate challenges while spearheading project teams.
Responsibilities:
β’ Leverage in-depth experience with GPT models to craft, train, and fine-tune
solutions for LLM, emphasizing on Skylark's specialty in finance and M&A
applications.
β’ Utilize ML expertise in diverse applications, encompassing structured
enterprise data, predictive analytics, and insight generation.
β’ Develop and adjust generative AI structures and strategies such as GAN, GPT,
and related methodologies tailored to Skylark's proprietary data engines.
β’ Collaborate with interdepartmental teams to conceive and deploy avant-garde
solutions capitalizing on LLM and GPT structures.
β’ Guide and mentor a brigade of 2-5 ML professionals, leading projects from
inception to fruition.
β’ Pioneer R&D efforts in the domains of LLM, GPT, and associated arenas.
β’ Remain abreast of contemporary breakthroughs in ML, AI, and DS.
Requirements:
β’ Demonstrable expertise with GPT frameworks, specifically in tailoring them
for LLM projects within finance and M&A domains.
β’ In-depth understanding of ML and its applications in extracting insights
from structured enterprise data.
β’ Profound knowledge of generative AI techniques such as GAN and GPT.
β’ 5+ years of Python coding prowess.
β’ A minimum of 5 years' experience in DS, ML, and/or AI.
β’ Distinct problem-solving flair and the capability to navigate multifaceted
challenges.
β’ Established leadership qualities with the dexterity to inspire and lead
project teams.
β’ Effective communication skills coupled with efficient teamwork acumen.
Nice to Have:
β’ MSc or PhD in a quantitative field (STEM+).
β’ Recognized contributions such as patents or publications in LLM, GPT, ML/AI,
or DS.
β’ Industry experience applying LLM, GPT, or ML in tangible projects,
especially in the financial sector.
β’ Prior experience in team leadership capacities.
Career Paths:
β’ Science Track in ML/DS: Evolve as a domain authority, leading R&D
initiatives and augmenting the discipline.
β’ Leadership Track in ML/DS: Progress into managerial echelons, spearheading
teams, defining strategic objectives, and driving Skylark's vision.
About Us: Alpha.AI is a pioneering entity dedicated to delivering AI-powered
solutions, with a concentration in the finance sector and M&A, by harnessing a
holistic machine learning platform to deploy revolutionary AI products.
Team: Become an integral part of a dynamic brigade of data scientists and
engineers in a nimble development milieu. Collaborate with industry stalwarts
to address formidable projects and operationalize the innovative solutions you
help shape.
Culture: We pride ourselves on our collaborative and entrepreneurial culture.
Each member significantly influences the trajectory of our solutions,
invariably enhancing the value we deliver to our clientele. We're crafting a
nexus of top-tier talent with our global presence.
More Information on Alpha.AI: Alpha.AI is a beacon in the AI landscape,
emphasizing on tailored LLMs for the finance domain. Join our mission as we
reshape the future of enterprise AI applications.
Alpha AI focuses on SaaS, Enterprise Software, Financial Services, Artificial
Intelligence, and Accounting. Their company has offices in New York City and
Miami. They have a small team that's between 11-50 employees. To date, Alpha
AI has raised $2M of funding; their latest round was closed on November 2022.
You can view their website at <https://www.alphagroup.ai/> or find them on
[Twitter](https://twitter.com/alphagroup_ai),
[Facebook](https://www.facebook.com/alphagroupai), and
[LinkedIn](https://www.linkedin.com/company/alphagroup-ai/).