- Proven Expertise in Machine Learning, Language Models, and NLP
- 6+ years of experience applying ML in production, with specialization in NLP, LLMs, RAG/RAC, agent workflows, and knowledge graphs.
- Demonstrated success in fine-tuning and deploying large-scale models, optimizing them for retrieval, reasoning, and personalized generation.
- Strong grounding in experimental design, evaluation methods, and advanced modeling techniques.
- Technical Leadership and Mentorship
- Ability to set vision and strategy for applied ML, ensuring alignment with business and product objectives.
- Experience mentoring senior engineers and data scientists, fostering technical rigor and scientific excellence.
- Skilled in influencing cross-functional priorities and representing the ML/AI domain at the company level.
- System Design, Scalability, and Software Engineering Rigor
- Expertise in architecting large-scale ML systems that combine retrieval, knowledge graphs, and agent orchestration.
- Strong fundamentals in Python, ML frameworks (PyTorch, TensorFlow), and distributed computing (Spark, Databricks, Ray).
- Proven ability to build APIs, microservices, and integrations that bring ML models into production with high reliability.
- Track record of balancing cutting-edge ML with pragmatic engineering practices for scale and sustainability.
- Business and Product Acumen
- Proven ability to partner with Product, Engineering, and Design leaders to translate technical opportunities into customer value.
- Skilled at framing ML solutions in terms of user impact, ROI, and strategic advantage.
- Experience shaping AI capabilities that improve answer accuracy, personalization, and workflow efficiency for end users.