... Includes prompt engineering, instruction tuning, retrieval-augmented generation (RAG), and reinforcement learning with human feedback (RLHF). Collaborate with AI Engineers, LLMOps/MLOps engineers, and product teams to translate multimodal data into scalable NLP solutions. Develop Agentic workflows and deployment workflows using ...
... Product Engineering teams. The candidate will join a team of developers across the US, India & Costa Rica. Responsibilities: ETL Development – The CDP ETL & Database Engineer will be responsible for building pipelines to feed downstream data processes. They will be able to analyze data, interpret business requirements, ...
... application issues, and implementing reliability improvements. Contributes to maintaining stable and resilient software services through collaboration with Software Engineering and Site Reliability Engineering teams while ensuring compliance with organizational policies, industry standards, and applicable regulatory requirements. ...
... play a key role in designing and implementing scalable data solutions using Fabric and Azure data https://jobeax.com/link/v8qrFLRTZgSSorDg Responsibilities :Data Engineering & Development :- Design and build data solutions using: Lakehouse, Warehouse, and OneLake in Fabric, Fabric Data Pipelines and Dataflows Gen2.- Develop ...
... while always thinking about reliability, scalability, resilience, security, and https://jobeax.com/link/Im0ECCXXkw7iwTBY : - Help build a Site Reliability Engineering culture by sharing best practices, approaches, documentation, and code with other engineering teams.- Apply automation and software to any tasks or parts ...
... principles to improve reliability, scalability, security, and operational efficiency across the database platform estate. To be successful as a Senior PostgreSQL Database Engineer / Application DBA , you should have experience with: Senior-level PostgreSQL Database Administration and Engineering expertise within large-scale ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... enterprise platforms. Build reliable data synchronization processes with error handling, retries, logging, monitoring, and reconciliation. Diagnose and resolve data-mapping, authentication, performance, and integration failures. Database and Performance Management Design and maintain database structures using MariaDB/MySQL. ...
Role Overview : We are looking for an experienced Service Provider ACI Engineer with strong expertise in Cisco ACI, Data Center Networking, Cisco Nexus, VXLAN, BGP EVPN, network automation, and solution https://jobeax.com/link/tMtvR03DM2HIo2W8 candidate will be responsible for designing, implementing, migrating, validating, ...
... looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... Data Management/Governance Policies, Procedures, Processes, Standards and Control Providing inputs and recommendation on Data practices, Data definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand ...
Job Summary:We are seeking a highly skilled and experienced Senior Azure Engineer (DevOps & Database) to lead the design, build, and management of our Microsoft Azure cloud infrastructure, with a specific focus on Windows-based application hosting, SQL Server database engineering, and DevOps delivery https://jobeax.com/link/7yDwjVoYn8HZ8pTw ...
... insights. - Manage data connections and publish governed data sources through Tableau Server/Cloud . - Configure appropriate security, user access, permissions, and data-source settings. - Ensure data accuracy, integrity, consistency, and governance across BI assets. - Troubleshoot dashboard, data, performance, and connectivity ...
... prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ...
... an assessment/audit capacity Experience with Power BI Premium capacity administration and capacity metrics analysis Experience with Direct Lake mode, Fabric warehouse/lakehouse design, and OneLake shortcuts Microsoft certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate, ...
... ensure accurate data movement across systems. Data Modeling Design conceptual, logical, and physical data models. Collaborate with engineering teams to define data architecture and schema designs. Ensure scalability, performance, and integrity of data models. Maintain documentation for data models, data dictionaries, and ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...