Data Scientist-Generative AI

Role:

Location:

Experience:

As a Consultant and with service delivery as your primary focus, you will be responsible for providing both business and technical services for a range of customer-facing consulting activities that specialize in Generative AI. Your role will involve aiding customers as they plan and strategize their Generative AI initiatives. Your technical proficiency and customer-facing knowledge, in addition to strong and trustworthy partnership, is necessary to cultivate customer relationships and ensure clarity of project objectives. The necessary requirements for this position are listed below

Requirement and skills

• Must have the ability to lead discussions with C-level customer roles, drive consensus, create strategic roadmaps, and engage data scientists on exploring existing and future ecosystems.
• Possess deep knowledge of Generative AI, particularly with 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.
• Must have prior experience working directly with clients, providing engaging presentations and accurate documentation while leading workshops and interviews.
• The ideal candidate should be able 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 cnvrg.io, mlfow, and Domino
• Expertise in Lean and Iterative Development Methodologies
• Educational Background in Machine Learning is an asset
• Certifications in relevant fields is preferred