Job Description
**Overview**
We are seeking a dynamic, forward-thinking **Lead AI / ML Engineer** to spearhead enterprise-wide adoption of AI-powered tools, workflows, and practices across both internal operations and client delivery teams. This candidate will partner with our internal **AI Lab** , delivery teams, and back-office functions (Finance, HR, Recruiting, BD) to identify high-impact AI use cases, select or build fit-for-purpose tools, and train teams on their use to drive measurable gains in **efficiency, quality, and innovation** .
The ideal candidate brings strong hands-on knowledge of today’s AI tools and platforms (including GenAI, MLOps, RAG, AutoML, LLMOps, and orchestration frameworks) and combines that technical acumen with a change agent’s mindset—capable of translating potential into real-world outcomes across diverse functions like software development, CI/CD infrastructure, HCD workshop synthesis, data engineering, AI/ML development, and business operations.
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We are seeking a dynamic, forward-thinking **Lead AI / ML Engineer** to spearhead enterprise-wide adoption of AI-powered tools, workflows, and practices across both internal operations and client delivery teams. This candidate will partner with our internal **AI Lab** , delivery teams, and back-office functions (Finance, HR, Recruiting, BD) to identify high-impact AI use cases, select or build fit-for-purpose tools, and train teams on their use to drive measurable gains in **efficiency, quality, and innovation** .
The ideal candidate brings strong hands-on knowledge of today’s AI tools and platforms (including GenAI, MLOps, RAG, AutoML, LLMOps, and orchestration frameworks) and combines that technical acumen with a change agent’s mindset—capable of translating potential into real-world outcomes across diverse functions like software development, CI/CD infrastructure, HCD workshop synthesis, data engineering, AI/ML development, and business operations.
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