Lead AI Engineer
- Architect and lead end-to-end ML/AI solutions supporting various use cases for a large enterprise using LLMs, deep learning, and probabilistic modeling—from ideation to production.
- Deploy scalable GenAI and Agentic AI systems that directly support business goals.
- Establish and promote best practices in AI development and responsible AI deployment.
- Drive innovation by identifying emerging technologies and translating research into practical applications.
- Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs.
- Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions.
- Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively.
- Mentor and develop junior talent, fostering a culture of technical excellence and continuous learning.
- Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions.
- 7+ years of experience in data science, machine learning, or AI engineering roles.
- Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.
- Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow, llama-index, MCP).
- Extensive experience testing LLM behavior across a variety of foundation models and benchmarks.
- Experience building AI-powered applications and collaborating with software engineers and product managers.
- Strong programming skills in Python. Proficiency in R is a plus.
- Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search is a plus.
- Exceptional communication skills, with the ability to explain complex concepts to non-technical stakeholders.
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