... - Collect, clean, process, and analyze structured and unstructured data. - Build and evaluate machine learning and statistical models. - Perform exploratory data analysis (EDA) and identify meaningful patterns and insights. - Develop data pipelines and prepare datasets for analytics and ML use cases. - Work with engineering ...
... 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 ...
... 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 learning frameworks. Benefits & Perks - Excellent group health coverage ...
... 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 ...
... abilities. Proficiency in data capturing and office management software such as MS Office and Google Suite. The ability to manage and process high volumes of data accurately. Good understanding of databases and digital and paper filing systems. Knowledge of administrative and clerical operations. Keen eye for detail and ...
... 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 ...
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 ...
... 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 ...
... 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. ...
... discrepancies. Maintain confidentiality and security of sensitive information. Meet daily productivity and accuracy targets. Required Skills - 3–5 years of experience in Data Entry, Data Processing, Back Office Operations, or similar roles. - Strong proficiency in MS Excel (VLOOKUP, Pivot Tables, Data Validation preferred). - Excellent ...
... 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 ...
... Education & Experience Bachelor's, Master's, or Ph.D. in a highly quantitative field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio of complex multimodal ...
... SLA responsibility in an ML/AI data operations environment - Knowledge of databases (SQL, MySQL) and Advanced Excel experience working with and analyzing large datasets to drive business improvements - Familiarity with ML data annotation workflows, labeling tools, or AI/ML program operations - Experience working in geographically ...
... and retrieval-augmented generation as these become part of the product toolkitTask Management and Peer Development :- Oversee and delegate technical tasks to analysts and graduates, ensuring work is distributed effectively and delivered to standard- Peer review the work of other analysts - both methodology and code - to ...
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 ...
... dependencies, and support agile product routines that oversee cross-product data dependencies and prioritize delivery Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of 'AI for Data' Provide transparency and drive executive visibility into ...