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Designs and owns the AI platform architecture for Saskatchewan’s government, including cloud infrastructure, MLOps, security, and deployment standards.
Develops and validates AI/Generative AI pipelines in Databricks, ensuring data quality, governance, and performance for risk-modeling solutions in a fintech environment.
Design and validate data pipelines and GenAI solutions on Databricks using Python, Spark, and SQL. Manage model risk and data governance, implementing MLOps/LLMOps practices in a hybrid environment.
Build AI-ready data products for pharmaceutical CMC workflows, integrating lab instruments and regulatory data to power predictive models and compliance frameworks.
The Senior Product Manager for Developer Experience will define the strategy and roadmap for AI-powered tools to enhance software engineering productivity at BNY. This role involves cross-functional leadership, managing internal and vendor AI capabilities, and measuring the impact of developer-facing solutions.
Own and scale the AI-SDLC platform’s deployment, CI/CD, and observability to productionise AI workflows for multiple teams, ensuring enterprise-grade reliability, security, and cost control.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
The Senior Engineering Manager will lead the Data Platform group at Imperva (a Thales company), overseeing the development of scalable data pipelines, streaming infrastructure, and AI-driven forensic agents. The role involves managing a team of engineers, guiding cloud-native architecture on AWS, and ensuring the reliability of data storage systems.
Architect and build large-scale data platforms that power streaming services and AI-driven personalization, enabling billions of events to become audience insights and intelligent products.
Senior Staff Technical Product Manager driving the AI/ML roadmap for Warner Bros. Discovery's Data & Audience Platform—defining strategy for predictive ML, GenAI, and agentic workflows to turn streaming event data into audience insights and personalization at scale.
The AI Engineer will design and deploy internal AI and GenAI solutions, including RAG and LLM-based pipelines, to support business needs. The role involves collaborating with data science teams to build robust, scalable models using Python, PyTorch, and cloud technologies.
The AI Engineer will design, build, and deploy enterprise-grade Generative AI applications, including RAG solutions and agentic workflows, to support digital transformation. The role involves hands-on development with LLMs, Python, and cloud AI platforms while ensuring system performance, safety, and governance.
Develops AI/ML computer vision models for gemstone detection, classification, and segmentation using Vision Transformers and vision-language models, while building MLOps pipelines and collaborating with cross-functional teams to deploy scalable solutions.
Job Details: Tyson Foods, Inc. has an opening for Lead Data Scientist in Springdale, AR. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using…
Internal Management & Management Support Applicants: Automatic notification to your current manager will be initiated upon selection for interview. This applies to all current P or M level candidates. Relocation…
The Technology Product Manager will define the vision, strategy, and roadmap for Asset Performance Management (APM) software products. They will manage the end-to-end product lifecycle, working with cross-functional teams to deliver industrial IoT and analytics solutions using Agile methodologies.
Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Hands-on AI & Automation Engineer designing, building and operating agentic AI solutions using Microsoft Foundry, Copilot Studio, Power Platform, Azure and orchestration frameworks like Semantic Kernel/LangChain within a large superannuation fund's London office.
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