KA
KalderosDirector of Data Science
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
About the role
- Provide both business and technical services for customer-facing consulting activities specializing in Generative AI.
- Aid customers in planning and strategizing their Generative AI initiatives.
- Cultivate customer relationships and ensure clarity of project objectives through strong partnership.
- Lead discussions with C-level stakeholders, drive consensus, and create strategic roadmaps.
- Engage and coordinate with data scientists to explore existing and future ecosystems.
- Plan, organize, and drive customer workshops, present findings, and document outcomes.
- Conduct architectural analyses, benefits analyses, and discovery work related to IT engagements.
- Deliver tailored technology services at an enterprise-wide level while adhering to margins, planning, and SOW requirements.
- Conduct on-site customer workshops and travel to client locations as needed.
Requirements
- Minimum 7 years of experience.
- 5+ years of experience in the fields of Artificial Intelligence and Big Data.
- 3+ years of progressive professional growth in a customer-facing services delivery role.
- Ability to lead discussions with C-level customer roles and drive consensus.
- Ability to create strategic roadmaps and engage data scientists on ecosystems.
- Deep knowledge of Generative AI, including model selection, data preparation for GenAI training, model finetuning and customization, and guardrail implementation.
- Understanding of the GenAI tooling ecosystem including Kubernetes, MLops, and AIops tools.
- Ability to gain customer trust, plan, organize, and drive customer workshops, and present findings.
- Demonstrated capacity to articulate complex concepts, build consensus and deliver outstanding work products.
- Proven experience in conducting architectural analyses, benefits analyses, and discoveries related to IT engagements.
- Prior experience working directly with clients, providing engaging presentations and accurate documentation while leading workshops and interviews.
- Ability to deliver tailored technology services on an enterprise-wide level while adhering to margin, planning and SOW requirements.
- On-site customer workshops may be required.
- Familiarity with Nvidia AI tools, including Bright Command Manager, Nemo Framework, and Triton Inference Server.
- Proficiency in Large Language Models (LLM).
- Competency using MLOps and AIOps tools such as mlfow and Domino.
- Expertise in Lean and Iterative Deployment Methodologies.
- Educational Background in Machine Learning is an asset.
- Certifications in relevant fields is preferred.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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