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Designs and maintains secure data pipelines and platforms for government AI/ML projects, converting raw data into governed, machine-learning-ready formats to power predictive analytics and generative AI applications.
Builds and deploys predictive models and analytics to support financial data products and services at a global market-intelligence provider.
We are looking for a highly motivated Senior Business Analyst to join our team of analytics experts in Health Care payment integrity. As a Senior Business Analyst, you will get an opportunity to work with various…
Build and deploy generative-AI solutions using LLMs, prompt engineering, fine-tuning, embeddings, and RAG pipelines for enterprise use cases like customer service and document automation.
Build and deploy generative AI systems using RAG, LLMs, and cloud-native MLOps on Azure, while mentoring teams to deliver scalable AI solutions across industries.
Builds and deploys AI/ML models (NLP, vision, prediction) and data pipelines to automate decisions and workflows in a design-focused architecture firm.
YOU ARE You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding…
Build and architect enterprise-grade AI systems, including LLM-driven agents, RAG pipelines, and multi-agent orchestration, while designing context layers and ensuring security and scalability.
Design and implement enterprise-grade AI architectures, including multi-agent systems, RAG pipelines, and model routing, while enforcing security, governance, and cost controls for large-scale deployments.
Build and deploy production-grade ML models for retail, pricing, and operations analytics using Python, SQL, and Azure ML.
Skill required: Marketing Operations - Campaign Management Designation: Marketing Platform Auto Associate Qualifications: Any Graduation Years of Experience: 1 to 3 Years About Accenture Accenture is a global…
Lead a team to build AI-powered document processing systems using NLP, OCR, and LLMs on GCP, designing scalable pipelines and cloud-native services.
Build and deploy ML models (XGBoost, NLP, deep learning) in AWS to solve client problems, using PySpark, SQL, and MLOps pipelines.
Build and deploy NLP models for federal clients, focusing on text preprocessing, feature engineering, and transformer-based solutions to solve public-sector challenges.
Build and maintain scalable, secure financial platforms using .NET, React, and AWS; lead domain ownership, architecture, and engineering standards for title insurance and settlement solutions.
Build and maintain title insurance and settlement platforms using .NET, React, and cloud services, while integrating AI tools for development and leveraging AI/ML for industry solutions.
Build, deploy, and monitor ML models end-to-end using Python, scikit-learn, and cloud platforms to drive business impact in insurance and financial services.
Lead the modernization of an AI-powered risk-intelligence platform’s data stack, migrating from Redshift to Snowflake and building governed pipelines, models, and telemetry to power analytics and AI agents.
Lead AI/ML initiatives at Cisco, defining technical vision and roadmap for AI capabilities in security and observability products while guiding cross-functional teams from architecture to production deployment.
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our…
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