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:
o Develop
cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic
AI research to solve business problems
o Own
production rollouts of consumer and internally facing GenAI applications
o Collaborate
cross-functionally with the product and engineering teams to influence
priorities and shape the product roadmap
o Required
/Proven experience with the following:
o Experience
in building GenAI applications, including RAG, multi-agent systems, Text2SQL,
fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
o Expertise
in deploying production-grade GenAI applications, including evaluation and
optimizations
o Extensive
years of hands-on industry data science experience, leveraging common machine
learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
o Experience
in building production-grade machine learning deployments on AWS, Azure, or GCP
o Graduate
degree in a quantitative discipline like Computer Science or equivalent
practical experience
o Passion
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
o We
require fluency in English and willingness to work across time zones.
Desirable Skills:
o Experience
in communicating and/or teaching technical concepts to non-technical and
technical audiences alike.
o Highly
motivated/self-starter with a sense of ownership, willingness to learn, and
desire to succeed.
o Strong
teamwork, problem-solving, and analytical skills.
o Good
understanding of Pharma Quality Standards and Practices.
Additional Comments:
o Databricks
expertise is a strength for this role. We Prefer Immediate Joiners.
Skills Required
- Experience building generative AI applications using RAG, multi-agent systems, Text2SQL, fine-tuning, Hugging Face, LangChain, or DSPy
- Expertise deploying production-grade generative AI applications, including evaluation and optimization
- Extensive hands-on industry data science experience
- Experience with machine learning and data science tools such as pandas, scikit-learn, and PyTorch
- Experience building production-grade machine learning deployments on AWS, Azure, or Google Cloud Platform
- Graduate degree in a quantitative discipline such as Computer Science, or equivalent practical experience
- Fluency in English
- Willingness to work across time zones
- Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
- Experience communicating or teaching technical concepts to technical and non-technical audiences
- Understanding of pharmaceutical quality standards and practices
- Strong teamwork, problem-solving, analytical, collaboration, and self-starting skills
What We Do
DataZymes Analytics is a technology and analytics company serving pharmaceutical and life-sciences organizations. Founded in 2016, it combines data science, digital products, AI, and consulting expertise to help pharma commercial teams integrate, manage, secure, and analyze complex data. Its solutions turn data into actionable insights, support informed decisions, and address challenges such as data silos, reporting limitations, and advanced analytical requirements.
