Lead Data Scientist - AI/ML in Bombay, भारत

KEY RESPONSIBILITIES : Models and machine learning : - Conceptualise business problems, drive frameworks, and translate ambiguous asks into solvable analytical problems.- Transform data science prototypes into production-grade solutions; design AI/ML applications against defined business and technical requirements.- Leverage large language and vision-language models for retrieval, extraction and reasoning over unstructured enterprise data.- Find and implement the right algorithms and tools, balancing accuracy, latency, interpretability and cost; train, evaluate and refine.- Integrate models into the application flow and deploy at scale, with monitoring for drift, degradation and https://jobeax.com/link/V2YiG5itY27VWQdv foundation and infrastructure : - Set up the infrastructure for data analysis and mining required to generate actionable insight reliably.- Use effective feature engineering and pre-processing across structured and unstructured data; select or define annotated datasets and their quality controls.- Extend ML libraries and frameworks so they apply across a range of https://jobeax.com/link/LV4TvhRS25VluITZ AI, measurement and governance : - Establish responsible-AI practice - model documentation, bias and privacy review, PII minimisation and audit trails.- Institutionalise measurement - A/B tests, holdouts and causal inference - so every model carries a defensible business number.- Create dashboards and visualisations that present data in a logical, decision-ready way to https://jobeax.com/link/4lwEySsvtJKsd5qr and stakeholders : - Set up and lead your own team, drive the vertical, and develop next-in-line leaders.- Collaborate with cross-functional teams of diverse backgrounds; communicate insight coherently, working directly with the senior-most https://jobeax.com/link/0zb8xjSgKIPg9cZC AND QUALIFICATIONS : - 8+ years hands-on in AI/ML and Data Science, with models that reached production and changed a business metric; a record of leading a team - hiring, setting standards and developing next-in-line leaders.- Strong command of Python and SQL across large datasets, with robust, testable code and sound software architecture.- Depth in feature engineering, statistics and ML algorithms (regression, classification, clustering, neural networks, time-series), and in Generative AI, NLP and Computer Vision and their business applications.- Hands-on with language models for retrieval - embeddings, RAG, vector stores, prompt design and evaluation - plus MLOps and engineering discipline to ship : experiment tracking, model registry, versioning, containerisation, CI/CD and cloud AI services (AWS / GCP / Azure).- The executive presence to hold a commercial argument, not only a technical one; genuine comfort with ambiguity; and awareness of data privacy, governance and responsible-AI obligations.- A BS or MS in Computer Science, AI/ML, Data Science or a related field. We index on what you have shipped, not on further qualifications. (ref:hirist.tech)