About the role
We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, we’d love to hear from you.
About the Role:
This role is a highly specialized business-facing
AI team. We deliver professional AI products and productionize
first-of-its-kind AI applications. We work cross-functionally to shape
long-term strategic priorities and initiatives alongside engineering, product,
and developer relations. We look for individuals with strong, unique
specializations to improve the overall strength of the team. This role is the
right fit for you if you love working with customers, teammates, and fuelling
your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
Objectives of role:
oDevelop
cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic
AI research to solve business problems
oOwn
production rollouts of consumer and internally facing GenAI applications
oCollaborate
cross-functionally with the product and engineering teams to influence
priorities and shape the product roadmap
oRequired
/Proven experience with the following:
oExperience
in building GenAI applications, including RAG, multi-agent systems, Text2SQL,
fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
oExpertise
in deploying production-grade GenAI applications, including evaluation and
optimizations
oExtensive
years of hands-on industry data science experience, leveraging common machine
learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
oExperience
in building production-grade machine learning deployments on AWS, Azure, or GCP
oGraduate
degree in a quantitative discipline like Computer Science or equivalent
practical experience
oPassion
for collaboration, life-long learning, and driving business value through AI
o[Preferred]
Experience in using the Databricks Intelligence Platform and Apache Spark? to
process large-scale distributed datasets
oWe
require fluency in English and willingness to work across time zones.
Desirable Skills:
oExperience
in communicating and/or teaching technical concepts to non-technical and
technical audiences alike.
oHighly
motivated/self-starter with a sense of ownership, willingness to learn, and
desire to succeed.
oStrong
teamwork, problem-solving, and analytical skills.
oGood
understanding of Pharma Quality Standards and Practices.
Additional Comments:
oDatabricks
expertise is a strength for this role. We Prefer Immediate Joiners.