11,631 data work jobs in India.

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... transformation https://jobeax.com/link/D4GLjfywL6FEvFfU role is part of a client-facing cybersecurity/data protection function, where the selected professional will work closely with security teams, data owners, platform owners, and other stakeholders to implement and optimize enterprise-grade Netskope Data Loss Prevention (DLP) ...

... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...

Key Responsibilities :- Design, implement, and optimize data center network infrastructure using EVPN/VXLAN and Spine-Leaf architecture.- Execute greenfield data center network deployments, including planning, implementation, testing, and migration activities.- Deploy and configure Spine-Leaf architecture across data center ...

... scheduling, data, and marketing coordination so the founder can focus on high-value client and advisory work. send reminders and keep projects moving CLIENT DATABASE & CRM Build and maintain an accurate, well-organized client and contact database EXCEL & REPORTING Organise data in Excel / Google Sheets; Maintain a content ...

... in Azure Databricks.- Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.- Apply strong data engineering principles to ensure data reliability, quality, performance, and reusability.- Work with structured and semi-structured data at https://jobeax.com/link/eNmjVrCC3v5NW3BQ, ...

... requirements. Identify and correct data inconsistencies and anomalies. Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. Data Quality Assurance: Conduct quality checks on labelled data to ensure adherence to project standards. Work closely with data scientists, engineers, and product ...

... and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and scalability. Lead troubleshooting and debugging efforts for data-related issues. Document data workflows, architectures, and ...

... Understanding of networking, processes, filesystems, memory, CPU utilization, system performance, concurrency, asynchronous processing, queues, caching, and distributed workloads. - Experience with relational and/or NoSQL databases and large-scale data systems. - Strong debugging, problem-solving, communication, and independent technical ...

... models4. Time-Series Forecasting5. Ranking / Recommendation systems6. NLP7. Optimization and decision systems- Strong proficiency in Python, SQL, Pandas, NumPy, and data analysis / visualization libraries such as Matplotlib, Plotly, etc.- Experience building robust ML workflows including:1. Feature engineering pipelines2. Offline ...

... opportunities Conduct research to identify, evaluate and prioritise target companies and locations to attract talent from Proactively develop, grow and maintain a network of external prospects to feed into and nurture clients' talent pools Proactively provide data and market insights to stakeholders and business leaders, making ...

... convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals. You will: - Run ongoing human labeling for priority AI workflows, including response quality, task success, MCP and tool use, end-to-end Cowork-style workflows. - Triage bad-query reports, downvotes, escalations, and routed ...

... capabilities across software engineering, AI, and data engineering.- Develop robust backend services, APIs, integrations, and platform features.- Build and maintain data pipelines, data processing workflows, and data infrastructure.- Design and develop AI agents, LLM-powered applications, RAG systems, and AI workflows.- Work with ...

... development, real-world data, patient journeys, evidence generation, or regulated workflows. Fine-tuning / adaptation experience (PEFT, LoRA, QLoRA). Expertise in big data technologies (e.g., AI application productization — lightweight front-ends, internal tools, or workflow automation. Building reusable accelerators, internal frameworks, ...

... high-concurrency, real-time data - Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo). - Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake). - Familiarity with A/B testing frameworks and the nuances of experimentation - Knowledge of global data privacy ...

... tools, XPath/CSS Selectors, and browser automation concepts. Experience in developing and maintaining scripts that automate browser actions and extract structured data. Quick learner, self-driven, and capable of working with minimal supervision. Collaboration Tools: Experience working with project collaboration and communication ...

... customers with solutions that fit their specific needs and always reflect their true interests. It's a claim backed by our True Performance System - a way of working engineered to get us closer, and deliver better, for our customers and their actual experience of technology. Why join Brennan True performance for our customers ...

... understanding of Lakehouse architecture and design patterns.- Unity Catalog: Security, governance, access control, and data management.- Databricks Platform: Workflows, Auto Loader, Databricks SQL, batch and streaming pipelines.- Spark Performance Optimization: Partitioning, shuffle optimization, data skew, join optimization, ...

... markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data sources- Experience developing scalable data, analytics or artificial intelligence capabilities that support business, analytical or strategic objectives- Working knowledge of artificial intelligence, machine ...

... maintain data models using Azure Data Modeling techniques to meet business needs. Create and optimize ETL pipelines, leveraging Azure Data Factory and Azure Databricks to process large datasets and integrate data from various sources. Data Integration: ~ Work on integrating data from multiple platforms and databases into ...