... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... 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 with ...
... 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 ...
... cross-functional teams to design and implement data models for 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. ...
... 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 ...
... maintain scalable big data pipelines and architectures to support robust data solutions.- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.- ...
... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...
... - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution 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 ...
... 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. ...
... management, insight reporting Escalate significant compliance or risk issues to senior leadership with suggested resolutions. Approval of reporting standards, data visualization methods, and analytics tools Co-decide on model approvals, risk assessments, and data access with relevant functions. Supports HSW data strategy, ...
... 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, ...
... fast-growing biotechnology company specializes in advanced genetic testing and molecular diagnostics. By leveraging cutting-edge genomic sequencing and precision analytics, the team provides healthcare providers and patients with critical insights into hereditary conditions, oncology, and reproductive health. Their mission is ...
... fast-growing biotechnology company specializes in advanced genetic testing and molecular diagnostics. By leveraging cutting-edge genomic sequencing and precision analytics, the team provides healthcare providers and patients with critical insights into hereditary conditions, oncology, and reproductive health. Their mission is ...
... 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 ...