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Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Designs and builds AI/ML-powered cloud-native applications on Microsoft Azure, focusing on retrieval-augmented generation and LLM integration to solve internal business problems while establishing reusable AI/MLOps patterns and security guardrails for cross-functional teams.
Principal AI Engineer builds and deploys production-grade agentic AI systems for Mastercard, focusing on multi-agent orchestration, tool integration, safety, and reliability across fintech and AI domains.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Build and scale AI-driven automation and observability platforms for Visa’s global payment systems using Python, FastAPI, React, Kafka, and AWS services like Bedrock and SageMaker.
Design and implement secure cloud architectures and controls for AWS/Azure/GCP, automate security posture management, and embed security into CI/CD pipelines to protect Amgen’s global healthcare cloud platforms.
Principal AI & Data Architect at Pitney Bowes designs enterprise-scale AI and data platforms, sets standards for lakehouse/data mesh, MLOps/LLMOps, and governance to drive production-grade AI adoption across the business.
Design and implement enterprise-scale GenAI and Agentic AI solutions using Azure OpenAI, RAG pipelines, and frameworks like AutoGen; lead MLOps/LLMOps and productionize AI applications.
Lead AI, product, and data-science strategy for Fannie Mae’s Internal Audit, building reusable platforms that automate risk detection, evidence generation, and control-risk reporting using ML, GenAI, and cloud technologies.
As an AI Engineering Manager at Solstice, you will play a pivotal role in driving AI initiatives across various business functions using multiple technology platforms. You will translate cutting-edge AI &…
Builds and maintains AI-powered healthcare platforms using Python, Next.js, and Azure, focusing on document processing and clinical review workflows.
Senior consultant designs and deploys AI-enabled data solutions on Databricks for financial-crime and AML use cases, integrating LLMs and cloud pipelines while guiding clients from concept to production.
Senior engineer embedded with government clients to prototype and deliver GenAI solutions using AWS services like Bedrock, while mentoring peers and translating business needs into working AI systems.
Design and deploy production-grade GenAI and AI agent systems for enterprise clients, focusing on RAG, intelligent assistants, and scalable AI workflows using Python, cloud platforms, and modern MLOps practices.
Lead the productionalization of AI/ML models and LLMOps pipelines, architecting scalable AI infrastructure and MLOps workflows to deploy enterprise-grade solutions in Python and cloud environments.
Senior engineer embeds with government clients to prototype and deliver GenAI solutions using Anthropic’s Claude platform, balancing speed, safety, and business impact while mentoring peers.
Design and govern enterprise AI platforms, including Generative AI and Agentic AI, by defining standards, reference architectures, and MLOps/LLMOps best practices for scalable, secure solutions.
Forward Deployed Technical Consultant -Databricks Location: Mississauga, 1 City Centre, DCN, Montreal, 5 Place Ville Marie, Corp Remote Type: Hybrid Time Type: Full time Job Description We are: The Advanced Technology…
Forward Deployed Technical Consultant-Snowflake Location: Montreal, 5 Place Ville Marie, Corp, Mississauga, 1 City Centre, DCN Remote Type: Hybrid Time Type: Full time Job Description We are: The Advanced Technology…
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