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Looking for a Data Science Tech Lead to lead analytics-driven operational decision-making at the intersection of data science, business analytics, and operations management.This role combines strategic leadership, stakeholder management, team development, and analytical problem-solving to drive measurable business outcomes.
This role as a Senior AI Engineer in the Financial Services industry focuses on developing and implementing advanced AI models to enhance business analytics and decision-making. Based in Bangalore, the position requires expertise in AI technologies to deliver innovative solutions for financial consultancy challenges.
This role focuses on building production‑grade applied AI systems, including LLM applications, RAG pipelines, and AI agents. You will work across data, reasoning, and backend systems to deliver personalized learning experiences at scale.
This role involves building and deploying production‑grade ML systems and agentic AI workflows that drive real‑time decision‑making. You will work across data, modeling, and deployment to power an AI platform used by global consumer tech companies.
The Principal Data Scientist will design, build, and optimize advanced NLP, computer vision, and LLM‑powered systems that automate permitting and regulatory workflows for a leading GovTech platform. The role combines deep technical ownership with strategic leadership, driving AI innovation that directly shapes product direction and government efficiency at scale.
The Senior Data Scientist will own end‑to‑end development of machine learning models that power their cutting‑edge, human‑like voice AI used across major BFSI enterprises. The role involves building scalable NLP and speech intelligence systems, optimizing real-time conversational performance, and driving innovation in a fast‑paced, high‑ownership startup environment.
The Head of AI will oversee the road-map and implementation of AI-driven solutions within the organization, ensuring alignment with business objectives. This role requires a strategic thinker with a strong background in VLM (Vision Language Models), Machine Learning, and NLP.
The role of the AI COO in the Analytics department involves overseeing and governing implementation of AI-driven strategies to enhance business operations. Operational Excellence frameworks, resource management, program management etc will be broader charter to achieve profitability.
The AI Tech Lead will deliver intelligent systems from architecture to production at scale. They should be skilled in designing robust AI platforms, data pipelines, and MLOps frameworks, with strong focus on scalability, reliability, and performance optimization. They should also have experience in applying advanced techniques across machine learning, deep learning, NLP, and GenAI (including RAG and LLM-based systems), while embedding responsible AI practices.
The Head Analytics & Data Science is responsible for defining and driving the end-to-end analytics and data science agenda for the Commercial Banking business. This leadership role owns business-critical analytics outcomes across credit, risk, growth, customer engagement, productivity, and portfolio management, ensuring that data-driven decisioning is embedded into core commercial banking processes at scale.
This role leads the end‑to‑end strategy, architecture, and delivery of a data-heavy product within a global organisation. You will combine product leadership, technical depth, and people management to build scalable, high‑impact solutions aligned to commercial outcomes.
As the Director, Business Operations Modernization (BOM) - India & APAC, you will lead and scale one of the most critical delivery engines of the company. Working in close partnership with the North America BOM Leader, you will drive the evolution of our BOM practice across the APAC region - powering AI-first, outcome-based delivery and building a globally integrated, high-performance team of ~1,000 professionals
The Data Analyst role in the retail industry requires strong analytical capabilities to interpret data and provide actionable insights that drive business decisions. This position is based in Shanghai and involves working closely with the analytics department to optimise performance.
The CEO will lead the organization through its next phase of growth and expansion, overseeing all business functions and acting as the single-point business head. The role requires building scalable platforms across industrial and warehousing assets, strengthening joint ventures, institutional partnerships, and driving execution excellence across regions.
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