... : We are looking for a Data Scientist with 0–1 years of experience who is passionate about data, machine learning, and problem-solving. You will work with engineering and product teams to analyze data, build ML models, identify patterns, and contribute to data-driven product improvements. This role is ideal for someone ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... experimental skills. - Experience with generative AI & large language models - Hands-on experience working with large language models, building agents, prompt engineering, or model fine-tuning techniques. - Strong proficiency in Python & Data Science Toolkit - Extensive experience with Python-based data science tools and machine ...
... efficiency, the successful candidate will ensure data integrity across client files, financial statements, and internal systems. Accurately input and update financial data into accounting software and databases. - Maintain and organize digital and physical client records, ensuring confidentiality and compliance. - Verify data accuracy ...
... and informing the supervisor of any errors or inconsistencies. Capturing data into digital databases and performing regular backups. Updating and maintaining databases, archives, and filing systems. Monitoring and reviewing databases and correcting errors or inconsistencies. Generating and exporting data reports, spreadsheets, ...
... the GDS Data Protection program. Your key responsibilities The Supervising Associate within GDS Data Protection team will assist in driving aspects of the GDS Data Protection program in collaboration with GDS Global Data Privacy Leader. Responsibilities include assisting with: providing advice and interpretation of data ...
... https://jobeax.com/link/iWvc74qOaz1N3AKd : Bengaluru | HybridYour Future Employer : A leading global AI and analytics company working across strategic consulting, advanced analytics, data engineering, governance, MLOps and AI-powered solutions, with a strong focus on Generative AI https://jobeax.com/link/yEDVIXaeb96i6mjc : - Develop, implement ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... controls. - Use source control, peer review, automated testing, CI/CD and repeatable deployment practices. - Create and maintain technical documentation including data flows, architecture views, configuration, support procedures and runbooks. - Estimate and plan engineering work, manage dependencies and communicate delivery ...
... 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 ...
... Object-Oriented Programming (OOP) principles, clean coding standards, and design patterns. Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing, feature engineering, and baseline modelling. Deep Learning Frameworks: Core expertise in PyTorch (preferred) or TensorFlow for building, customizing, ...
... 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, ...
... analytics solution design with minimal guidance - typically components with clear input/output requirements such as predictive models, allocation schemes, or data transformation pipelines- Design, develop, prototype, and test analytics algorithms, writing clear specifications for implementation by engineering teams where ...
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 ...
... tracking in making AI-ready and critical data sources available for innovation Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted ...