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Metro location and known SaaS brand increase competition, but seniority and GenAI specialization moderate applicant density.
Advanced GenAI, NLP and big-data production experience transfers across tech sectors but less to non-tech industries.
Explicit 7-year minimum plus mandatory production GenAI, LLM, and big-data expertise makes shortlisting highly strict.
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Lead development of a scalable conversational AI servicebot targeting 1 million+ monthly users using Generative AI techniques.
Own end-to-end machine learning pipelines: data pre-processing, modeling, validation, and feedback integration for real-time streaming data.
Collaborate with product, business, and ML engineering teams to design intelligent, low-latency GenAI systems that deliver real-time insights and automate complex Text2Action challenges.
Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or related quantitative field.
Minimum 7 years of relevant industry experience in data science or machine learning roles.
Proven experience deploying machine learning projects into production environments with substantial individual contributions.
Proficiency in Generative AI/NLP techniques (LLMs, transformers, prompt engineering), Big Data technologies (Hadoop, Spark), and both SQL/NoSQL databases.
Experienced in building large-scale distributed ML/AI systems supporting real-time streaming data analysis.
Strong mathematical expertise underpinning ML algorithms including probability, statistics, linear algebra, calculus, and optimization.
Domain expertise in at least two of NLP, statistical ML, deep learning, distributed systems, graph algorithms, constraint optimization, or signal processing (speech/vision).