... Data and Applied Science team, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. What you'll build: The Data and Applied Science team will build the semantic and contextual ...
... monitoring, and governance of GenAI https://jobeax.com/link/XU98LZCDud62tiC7 Qualifications & Experience :- Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or related technical field. PhD is a plus.- Experience: 8 -12 years in AI/ML and software engineering, with 3+ years ...
... of Medallion Architecture and Delta Lake . - Advanced SQL and experience working with large-scale datasets. Good to Have - MLflow and experience supporting ML/data science workflows. - LangChain or similar AI/Agent frameworks. - Exposure to AI Agents / AI-ready data platforms . - Experience with SQL Server . - Experience ...
... expect. The Advanced Analytics team is positioned within IT Delivery. Our solutions are mainly focused on Supply Chain and Commercial. We are looking for (senior) data engineers to join our high performing team. We aim to attract and further develop the best Data Science & Supply Chain talent. Collect business requirements from ...
... Science, Engineering, or a related field. - Over 5 years of software development experience, with at least 2 years in a technical leadership role overseeing data engineering or data platform teams. - Strong proficiency in big data technologies, including Apache Spark/PySpark, Apache Airflow and Apache Kafka. - Experience ...
... quality. Big Data - Big Data - Pyspark Database - Database Programming - SQL Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark Data & AI - Data Engineering - Data Quality & Validation Data & AI - Data Engineering - Apache Kafka Big Data - Big Data - Azure databricks Data Science and Machine ...
... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...
About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...
... field AND 4+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data ...
... the business. Role Description Amtech LLC is seeking a Lead Data Engineer to own the architecture, scalability, and technical direction of ACDP (Amtech Cloud Data Platform) - the data warehouses, pipelines, tenant data stores, and feature stores that power analytics, personalization, and AI agent initiatives across the ...
... enterprise data catalog and empower self-service analytics. Have 8+ years of overall experience in data engineering, data warehousing, ETL, BI, or enterprise analytics, including 3–5 years of hands-on Oracle FDI experience. Have strong hands-on skills in Oracle SQL, PL/SQL, Oracle Database, and Oracle Data Integrator (ODI ...
Working Hours : Full Time Experience : 4–6 Years Soothsayer Analytics is a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning & GenAI solutions—spanning predictive analytics, optimization, NLP, and enterprise-scale ...
... techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate closely with data scientists and analysts to provide clean, structured data for advanced analytics and machine ...
Skillset Requirements : - Experience : 5 to 10 years in data science- Programming : Minimum 5 years in Python- Machine Learning/NLP : At least 4 years- LLM & GenAI : Minimum 1.5 years with large language models and generative AI- Database Management : At least 2 years with any database- Cloud Deployment : 1+ years deploying ...
... Snowflake / Databricks HIPAA / Data Governance LLM Observability & Monitoring 4+ years of experience working in or with pharmaceutical commercial operations, life sciences data, or healthcare analytics. - Familiarity with pharma commercial data types: prescription data (TRx/NRx), specialty pharmacy data, HCP/HCO master data, ...
... and data security standards across all platform components. Partner with cross-functional stakeholders – including product management, software engineering, analytics and data science teams – to understand data needs and deliver solutions. Drive adoption of DataOps and engineering best practices including CI/CD for data, ...
... database design, and building performant, governed analytics-ready structures. Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks. Experience And Education - Bachelor's/Master's in Data Science, Engineering, or a related field. ...
... support data-driven decision-making. Implement of business intelligence and analytics systems, ensuring alignment with business requirements. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets. Enable self-service data exploration capabilities for users to analyze and ...
... Experience: Bachelor s or master s degree in computer science, Information Systems, Data Analytics, or a related field. Approximately 5+ years of experience in data analysis, data modeling, or data management roles, including involvement in large-scale ERP or data transformation projects (e. g. ERP migration, data warehouse ...
... optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems. Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains Collaborating with cross-functional teams to deliver end-to-end data ...