Data Architecture & AI Lead in Delhi, India is listed on Jobeax. Browse 30,000+ vacancies available.
Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- Drive adoption of data-driven decision makingAI / ML / GenAI Initiatives :- Identify and deliver high-impact AI/ML use cases (forecasting, recommendations, optimization)- Lead development and deployment of machine learning models- Drive adoption of Generative AI use cases (automation, copilots, knowledge assistants)- Ensure responsible AI practices including model governance and explainability- Establish data governance framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- Manage vendors, partners, and external technology providers- Drive roadmap execution aligned to business priorities (ref:hirist.tech)
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
... for mobile applications. - Demonstrated experience in microservices architecture , Python REST API development , and AWS cloud solutions . - 5+ years of proven leadership experience managing and scaling high-performing engineering teams. - Deep understanding of retail eCommerce platforms and customer experience journeys .
... products that meet customer needs. Provide leadership to the team in the areas of project planning, execution, and close-out; financial management; Perform role of Data Team Lead (DTL). Comply with Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, policies, and, where available, CDM guidance documents Client ...
... real-world environments. This role is ideal for someone who is equally comfortable developing models, operationalizing them in production, and mentoring others to raise the maturity of data science and ML engineering practices across the team.. Lead the design, development, evaluation, and deployment of machine learning models ...
... solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, ...
... Experience and Skills – Our Must haves: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 8+ years of experience in data science with a strong focus on model development and algorithm design in the retail domain such as Fashion or CPG. - Strong communication and requirement gathering ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... outcomes. The candidate will work closely with Solution Architects, Data Engineers, Application Developers, Product Teams, and Business Stakeholders to drive AI/GenAI initiatives from ideation through https://jobeax.com/link/rH0yu1ler9U2ioyx Responsibilities :AI / ML / GenAI Leadership :- Lead AI, ML, and GenAI implementation ...
... English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves Annotation is what helps AI make sense of the world. As an annotator, ...
... Machine Learning and Generative AI solutions. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. Develop AI agents using Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar technologies. Integrate AI agents with enterprise APIs, tools, databases, and ...
... English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves Annotation is what helps AI make sense of the world. As an annotator, ...
... automation, machine learning or generative AI, rather than applying AI by default. Commitment to continuous learning in data, AI, cloud engineering and the maritime domain. Reliable, maintainable and well-tested data and AI workflows that improve product quality and team efficiency. Clear evidence that AI-assisted outputs are evaluated, ...
... statistical models to transformer-based architectures and retrieval-augmented generation (RAG) systems Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow Deploy, monitor, and maintain models ...
... loss-forecasting simulations. - Platform Architecture: Collaborate with Data Platform Engineers to build reliable pipelines and high-throughput feature extraction. - Raise the technical bar through peer reviews, reusable tooling, and pro-active communication to risk leadership and partners. in a quantitative field (Statistics, ...
... English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves Annotation is what helps AI make sense of the world. As an annotator, ...
Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... architecture and technology roadmap.- Define reference architectures, solution designs, architecture standards and reusable patterns across Microsoft data and AI platforms.- Lead the design and governance of trusted, reusable and AI-ready enterprise data products within Microsoft Fabric.- Define architectures for data ingestion, ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... organization to research, develop, and deliver data science tools,models, or software for solving challenging business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer ...