... 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 ...
India, Mumbai
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
WE'RE HIRING | DATA ENTRY OPERATOR Work Mode: On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity ...
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 ...
... engineering best practices and scalable architectures. Experience with Apache Spark or PySpark. Knowledge of Docker, Kubernetes, and CI/CD pipelines. Experience with data governance and metadata management. Exposure to machine learning data pipelines is a plus. Bachelor's/Master's degree in Computer Science, IT, Engineering, or ...
... Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
Enterprise Data & AI Solution ArchitectJob SummaryAs an Enterprise Data & AI Solution Architect within Darktrace's TechOps Centre, you will lead the design and evolution of enterprise data, analytics and AI solutions across Darktrace's Microsoft technology https://jobeax.com/link/8eCu4g68SO5sOI6t with business, data, technology, ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... performance and accuracy. Communicate findings and recommendations to stakeholders effectively. Stay updated on industry trends and emerging technologies in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science ...
... highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. The ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... transformation rules, and operational support procedures.- Strong collaboration skills across Business Analysts, Product Owners, data owners, vendors, Scrum Masters, and engineering teams.- Experience working in Agile delivery environments.Good-To-Have Skills:- Experience with financial services data, including brokerage, ...
... operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation ...
... techniques to NLP, time-series forecasting, classification, regression, clustering, recommendation, or optimization problems. Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. Strong cross-functional collaboration skills ...
... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...