... management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval. ...
... and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner ...
Job Description : Work Location : Chennai 5 Days Work From Office (WFO).Position : Predictive Analytics / Data https://jobeax.com/link/fSrIE4OIKApyyAEL Type : Full-Time (FTE).Company Overview : US-based AI company headquartered in California. Approximately 9-year-old organization specializing in AI-driven https://jobeax.com/link/SFHOY7EhVu5tBl6Q ...
... purpose of this role is to develop, sustain and enhance technical architecture of Smith's cloud (and on-premise) based Platform and its applications. - The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and ...
... cloud-native data services: Data lakes, data warehouses, and analytics services Identity and access management for data systems Data & Analytics Understanding of data governance and security principles Experience with data quality frameworks and monitoring Knowledge of dimensional modeling and data warehouse design Familiarity ...
... fund data and technology. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. As a Data Analyst you will play a key role in delivering accurate mutual fund data. You'll work with a global team, gain exposure to financial data processes, and grow ...
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...
... Agile Collaboration: Act as an active member of an agile development team, participating in Scrum ceremonies, sprint planning, and the collective execution of work items. Experience: 1 to 3 years of hands-on experience in data engineering, data science, or advanced data analytics. Core Technical Stack: Advanced proficiency ...
... Data processing frameworks and data lakes to handle structured and unstructured data. Collaborate with data scientists, analysts, and other engineers to ensure data accuracy and availability. Implement data ingestion strategies, ensuring the secure and efficient movement of data across different storage solutions. Work on ...
... and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner ...
... Database backup and recovery. Database performance tuning and optimization. High availability and disaster recovery. Database security and access management. Database monitoring and capacity management. Database patching and upgrades. Data migration and database maintenance. Infrastructure Enterprise IT Knowledge Working ...
... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...
... of experience in Data Science / AI / Machine Learning - Strong proficiency in Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, etc.) - Experience in data modeling, predictive analytics, and experimentation - Ability to work with unstructured and early-stage datasets - Strong problem-solving and systems thinking ...
... proficiency in Python and data science libraries. - Strong knowledge of Machine Learning algorithms, statistics and predictive modelling . - Experience with data preprocessing, feature engineering and model evaluation . - Strong analytical and problem-solving abilities. - Experience working with large and complex datasets. ...
... and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner ...
Cassandra DBA Location: Remote Job Type: Full Time Note - Candidate needs to work in UK Shift Time. Lead and support Oracle-to-Apache Cassandra data migration activities, ensuring data integrity, consistency, and minimal disruption to business services. Own the Cassandra data-layer architecture and design supporting high-volume, ...
... modelling experience in Experience with repeat-borrower ladder / limit-management policies. - Monitoring and QC: Shadow underwriting/champion–challenger frameworks. - Alt-data: Worked with SMS / alt-data / device / AA signals for underwriting or fraud (FinBox, similar vendors, or in-house SMS parsing). - Stack: Strong SQL ...
... disaster recovery drills and documented failover exercises. Manage data movement activities including Data Pump exports and imports, non-production refreshes, and database cloning. Mentor junior engineers, review their work and raise the quality of shift handovers. Partner with cloud, infrastructure, network and application ...
... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...