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Mid-level metro role with some brand recognition but niche GenAI/LLM skills, so moderate applicant competition.
Strong ML/AI technical requirements plus desired domain knowledge (finance/telecom/retail) limit cross-industry transferability moderately.
Explicit 6-8 years, PhD preference, and mandatory LLM/Generative AI and MLOps skills make filters strict.
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Develop and deploy Generative AI and Large Language Model projects aligned with business objectives across various industry verticals.
Design and implement AI Agents and Proof of Concepts to demonstrate Generative AI potential in customer environments.
Collaborate with cross-functional teams to integrate AI/ML solutions into cloud platforms such as Azure, GCP, and AWS.
6-8 years of IT industry experience with a minimum of 4 years in Data Science or similar role.
PhD or equivalent qualification in a relevant field.
Strong technical expertise in Transformers, LLMs, Fine Tuning, Agents, RAG techniques, and Python programming.
Experience with major cloud platforms (Azure, GCP, AWS) and deploying LLMs on cloud or on-premise environments.
Expertise in Generative AI, NLP, MLOps, AI solution architecture with demonstrated project experience (2-3 projects) in one domain like Financial, Telecom, or Retail.
Capability to engage with customers to demonstrate business impact of AI applications, indicating a client-facing and solution-oriented approach.
Experience working on AI Agents development and deploying AI/ML solutions in hybrid cloud environments aligns with strategic business and technology integration needs.