1,845 data labelling jobs in India.

... seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into production. Analyze structured ...

... Ensure documentation is up-to-date and aligned with industry standards. Baseline Standards Review: Create and review baseline standards for operating systems, databases, web servers, and applications. Recommend improvements based on security assessments. Post-Implementation Audits: Support post-implementation audits for ...

... financial domains (Payments, FX, Accounts) - Experience in data product-oriented delivery approaches - AI-assisted data product development experience Data & AI - Data Engineering - Data Quality & Validation Big Data - Big Data - Pyspark Data & AI - MLOPS - Python Database - Database Programming - SQL Data & AI - Data Engineering ...

... Title : SAP Datasphere and Native HANA DeveloperWork Location : Kolhapur, Hyderabad , Bangalore, Chennai, VisakhapatnamExperience : 5 to 9 yearsRequired Skills : Datasphere, Native HANA ,B4HANAResponsibilities :- 5 - 9 years on Datasphere,BW4HANA,Native HANA Modeling,Hands on experience in : - Working knowledge of Datasphere ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...

... proven leadership experience managing, growing, and guiding specialized data science teams on production-level projects.- Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a highly quantitative field (preferred).Core Technical Toolkit:- Advanced Data Science: Deep expertise in Machine ...

... Key Responsibilities Lead implementation, configuration, and support for oracle content management (OCM) or similar ECM platforms. Define content models, metadata structures and taxonomies as per business needs. Manage user roles, groups, permission, and access control policies Design and implement content migration strategies(devàuatàproduction) ...

... stakeholders to understand data requirements and design efficient data models.- Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. - Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.- Optimize data processing ...

... integration experience is a plus. Certification in public cloud (Azure or AWS) Typescript programming is a plus. This is an opportunity for a highly motivatedData Engineer to join the Event Streaming and Data Replication platform. We are a diverse, open, and transparent community where you will contribute to powering the ...

... expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing ...

... highly scalable database environments that power the Five9 platform. Key Responsibilities - Design, build, and maintain highly available, high-performing MySQL databases. - Support production databases across global data centers. - Support MySQL database replication and clustering. - Provide database reports to business units ...

... implement ETL processes and work closely with BI/Data Warehousing teams. Collaborate with application developers, business analysts, and QA teams to understand data requirements and deliver optimal data solutions. Ensure data integrity, security, and compliance standards are maintained across all environments. Participate ...

This role is for one of our clients Industry: IT Services and IT Consulting Seniority level: Mid-Senior level Min Experience: 7+ years Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India JobType: full-time

... transform, and validate large datasets from diverse operational systems into centralized warehouse structures.- Configure and manage scheduling for batch jobs and data pipelines to guarantee timely data availability aligned with business-day operations and service level expectations.- Analyze existing data warehousing concepts ...

Full time

... from lead generation and discovery to solutioning, proposal development, negotiation, and closure Sell data services including image, video, LiDAR, and sensor data annotation, as well as text, NLP, and speech labelling Deliver scripting and automation solutions for data pipelines, along with QA, validation, and data operations ...

... attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on three core threads: 1. Data assimilation: contribute hands-on to data assimilation for weather forecasting models. 2. ML-ready datasets: procure, process, and create ML-ready global and ...

... with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness. We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Analytics ...

... PySpark for large-scale data processing - Working experience with Databricks (Delta Lake, Unity Catalog, notebooks) - Exposure to AI/ML data pipelines — vector databases, embeddings, or RAG architecture is a plus - Experience with cloud data platforms (Azure Data Factory, AWS Glue, or equivalent) - Understanding of data modeling, ...