... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...
... with Python libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, algorithms, building and maintaining data pipelines. - Experience ...
... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... contribute to improving the quality of data used in next-generation AI systems. Key Responsibilities Data Analysis & Review Review and analyze large business datasets for accuracy, completeness, and relevance . Examine data to identify inconsistencies, anomalies, and potential quality issues. Assess data integrity and provide ...
... predictive analytics and data visualization. 4. Perform data cleaning and manipulation to ensure data accuracy and consistency and optimize data quality. 5. Work on data entry tasks to input and organize large volumes of data in databases and data warehouses. 6. Develop and implement strategies for data engineering processes to ...
... Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing - Entering and updating information into relevant databases - Informing relevant parties regarding errors encountered - Handling additional duties from time to time Requirements - 1+ years experience in a relevant ...
... https://jobeax.com/link/2luqtWY4b55DMQvB Skills and Qualifications :- Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.- Advanced proficiency in Python for data processing, automation, and integration.- Deep understanding of relational and NoSQL databases, including ...
... of data engineering initiatives. Total Experience: 1-4 years in data engineering or related fields. Solid experience with Databricks, focusing on platform engineering, data engineering, and analytics. Technical Skills: Proficiency in Python, Scala, or Java; strong experience with Databricks APIs, Apache Spark, and Delta ...
... architectures to support trusted data products, self-service analytics, and conversational AI.- Design solution architectures for modern data and AI platforms on Databricks.- Define and promote enterprise standards for data products, data modelling, Medallion Architecture, DBT, Unity Catalog, and data engineering.- Create reusable ...
... high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives. Key Responsibilities: Design and implement data annotation guidelines to maintain consistency and accuracy across datasets. ...
... or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language ...
... or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language ...
... MS-Excel to accurately input and update data 2. Maintain and organize large databases to ensure data integrity 3. Collaborate with team members to streamline data entry processes 4. Perform regular quality checks to identify and correct errors 5. Generate reports and analyze data trends for decision-making purposes 6. Support ...
... Product engineering team to influence designs with data, AI and analytics use cases in mind - In depth experience in System design involving large Petabytes of data with Databricks Lakehouse - Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context) - AWS, GCP, ...
... Support database upgrades, patching, and migrations Collaborate with DevOps, application, and cloud teams Participate in on-call support rotation (24x7) Perform database tuning, monitoring, and performance optimization to ensure database health and security. Ensure security best practices for cloud databases, including encryption, ...
... while showcasing your expertise in data analysis, data analytics, data cleaning, data engineering, data extraction, data interpretation, data manipulation, and data preparation. Key Responsibilities: 1. Accurately entering and updating data into our database system 2. Performing data cleaning and data annotation tasks to ...
Job Summary :We are looking for an experienced SAP Datasphere Consultant with strong expertise in data modeling, data integration, analytics, and SAP cloud data solutions. The ideal candidate should have hands-on experience with SAP Datasphere, SAP HANA Cloud, data modeling, data flows, replication flows, SQL, and SAP Analytics ...
... a part of Database Engineering team and responsible for database administration for Postgres RDS and No-SQL database management. You will be responsible for database design, data architecture, data modeling, performance tuning and capacity planning. You will evaluate, configure, and install database management systems. ...
... engineering and architecture teams during system design and sprint planning to provide expert guidance on data modeling and schema design. Advise on optimal data structures, collection/table/keyspace design, and access patterns for each database technology. Enforce data security policies including encryption at rest and ...