2,113 data trainer jobs in India.

30k

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist ...

• Remote
• Hybrid
• On-site

... orchestration, OneLake concepts and Power BI semantic models, including Direct Lake where appropriate. - Experience with data warehouses, data lakes and Azure data services such as Azure Data Lake Storage and Azure Data Factory. - Strong knowledge of dimensional modelling, analytical structures and data-modelling trade-offs. ...

• Full-time

... to accurately manage, update, and maintain business-critical data. The ideal candidate should be comfortable working in US business hours and possess strong data management, communication, and MS Office skills. Key Responsibilities Enter, update, verify, and maintain data in internal systems and databases. Review data ...

• Remote
• Hybrid
• On-site
• Contract

... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...

Job Requirements Job Title: Data Entry Operator Location: Hyderabad, Telangana Salary: Competitive Qualification: High school diploma or equivalent Work Experience: 0-5 years Job Description Join Reycruit as a Data Entry Operator. Input and manage data accurately to support operations. Responsibilities Enter data accurately ...

Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...

• Remote

... Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management ...

... Data Factory or equivalent. Data Handling: Expertise in data engineering, including data cleaning, transformation, and preparation for analysis. Knowledge of data modelling, database design, and data architecture principles. Data Quality: Proven experience in data quality management, including data cleansing, validation, ...

Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...

Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...

... Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms. Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges ...

Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...

• Hybrid

... learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets. - Strong programming proficiency in Python, SQL, and data-modeling techniques for event data. - Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines ...

... skills Work Experience: 0-3 years Job Description Be a part of mycityband as a Data Entry Operator in Hyderabad/Secunderabad and Ahmedabad. Your role is to input data accurately to help with various tasks. Responsibilities Enter data accurately into our computer systems Check and fix any mistakes in the data Keep electronic ...

... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...

• Remote

... sustainability sectors. Position: Senior Android Developer Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR). - Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season ...

... and modern orchestration — empowering the organization to make reliable, governed, data-driven decisions. Data Platform Architecture: Design and own end-to-end data pipeline architecture — ETL/ELT, orchestration, and data modeling — across cloud-native platforms (Azure Databricks, Azure Data Factory, and/or Snowflake). Lakehouse ...

Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...

... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...

... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...