... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...
... bar through peer reviews, reusable tooling, and pro-active communication to risk leadership and partners. in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience. - Experience: 2–4 years of Data Science experience, ideally including 3+ years focused ...
... https://jobeax.com/link/KxQMP4FAhNuXokRE You Need to Succeed : - 10+ years of experience in QA, with at least 3+ years in a QA leadership or managerial role.- Bachelor's degree or above in Computer Science or related field with a solid foundation in computer science.- Hands-on experience in both manual and automation testing.- Proven experience in managing ...
... intersection of business knowledge and data governance, acting as the day-to-day guardian of data quality, metadata, and accountability for a defined set of data https://jobeax.com/link/Tz8QBxhdVa4wtgEC Responsibilities :Metadata & Data Catalog :- Own the collection, quality, and ongoing curation of metadata for data assets ...
... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...
... recognized university. Candidates with a background in Commerce, Business Administration, Management, Computer Applications, Statistics or related disciplines will be preferred. Experience - 0–2 years of relevant experience. - Fresh graduates with good communication, MS Office and data management skills are encouraged to apply.
... Planning & Scheduling: Develop and manage release plan across PODs including Release deliverables/Features, Release timelines.- Support on Teva processes for data availability, Architecture approvals, risk and compliance reviews etc.- Coordination across PODs for dependency planning and scoping.- Support dependency and ...
... pride in the quality and precision of your work Self-motivated and reliable when working independently without supervision Nice to Have Prior experience with data annotation, data quality assurance, or AI evaluation systems Familiarity with LLM behavior, prompt engineering, or AI training workflows Background in software ...
... interactions into the CRM system throughout the day, including phone calls, emails, and other forms of communication. · Maintains and updates the company sales database to support sales initiatives and data integrity. · Prepares customer product expectations and pricing quotations in coordination with internal teams as needed. ...
... implement cutting-edge generative algorithms.- Lead a team of engineers, providing technical guidance and mentorship.- Develop and maintain AI pipelines for data processing, model training, and deployment.- Conduct thorough testing and validation of models to ensure high-quality outputs.- Mentor junior researchers and ...
... Power Automate, Power Pages, Dataverse).- Microsoft 365 Copilot, Copilot Studio, Agents, Connectors, and Extensibility.- Azure Services, API Management, Networking, and Security.- Enterprise Integration and API Architecture.- Databricks and Enterprise Data Platforms.- Solution Architecture and Governance. (ref:hirist.tech)
... Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. By leveraging Kubeflow ...
... Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. By leveraging Kubeflow ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
... architecting and executing robust automation frameworks that ensure the reliability and performance of complex AI-driven features. You will collaborate closely with data scientists, product managers, and backend developers to bridge the gap between traditional software quality and the non-deterministic nature of machine learning ...
... research methodologies, coding standards, code reviews, source control management, development processes, build processes, testing and release, Advanced degree in computer science, data science, machine learning, or related field, or equivalent work experience. ~6+ years of professional experience in software engineering designing ...
... Support installation and qualification of new laboratory equipment. Support Data Management and Reporting Enter characterization and failure analysis results into databases and tracking systems. Generate test logs, reports, and data summaries. Verify data accuracy and report discrepancies. Assist with data trending and analysis ...
... stakeholders. Collaborate with business analysts and stakeholders to gather and analyze reporting and data needs, translating them into technical solutions. Ensure data integrity, security, and compliance across all applications and databases. Work closely with QA, Data Engineering, and other cross-functional teams to facilitate ...
... have opportunities to work on real-world AI use cases and contribute to building reliable and useful AI-powered solutions. Requirements - Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Linguistics, or a related field - 0-2 years of experience with AI tools, prompt engineering, ...