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Specialized ML/LLM skills and Bengaluru metro increase competition despite smaller company brand.
Requires deep ML/LLM and production experience, making cross-industry transfers difficult.
Explicit 6–10 years and mandatory LLM, production, and cloud experience create stringent filters.
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Lead design and development of advanced ML models and AI solutions including LLMs, RAG, and AI agents to support internal teams and customers.
Build, scale, deploy, and monitor end-to-end ML pipelines ensuring performance, scalability, and cost efficiency.
Translate analytical findings into actionable insights influencing product strategy and revenue growth.
6 to 10 years of experience in Data Science, Machine Learning, or related roles.
Strong programming skills in Python and SQL; experience with ML/AI frameworks like Scikit-learn, Hugging Face, and transformer models.
Hands-on experience deploying and productionizing ML models and AI systems on AWS; familiarity with Azure or GCP is a plus.
Experience working with supervised/unsupervised learning, NLP, recommendation systems, or time-series analysis.
Technical leader with proven experience operationalizing AI/ML at scale across product and go-to-market functions.
Strong domain expertise implementing and deploying GenAI applications involving LLMs, vector DBs, and agent orchestration frameworks like LangChain.
Experience working in fast-paced, Agile environments building SaaS analytics and AI-driven data products impacting customer adoption and revenue.