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The Director, NovaOS Product Owner manages a portfolio of AI-enabled capabilities, bridging business needs with engineering, UX, and data science teams to deliver enterprise software. This role focuses on product strategy, backlog prioritization, and driving adoption within a pharmaceutical context.
About this role: Wells Fargo is seeking a Quantitative Analytics Manager. In this role, you will: Manage a team responsible for the creation and implementation of low to moderate complex financial areas Mitigate…
Develop, optimize, and deploy machine learning models for audio and multimodal intelligence on edge/embedded devices, working at the intersection of ML modeling, DSP, and embedded systems using C/C++, Python, and on-device ML runtimes like TFLite Micro.
Work for the IMF. Work for the World. Under the direction of the Section Chief of Economic Data of ITD, the Senior/Economic Data Systems Engineer serves as an individual contributor. The position provides Fund-wide…
The Modelling/Forecasting Analyst will support the independent validation of Liquidity Risk Management models at TD Bank. The role involves executing validation testing, assessing model soundness, and drafting technical reports using Python, SQL, SAS, and VBA.
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at…
About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity…
We’re looking for a hands-on Data Product Manager to own and personally lead the development of our predictive market modelling solutions for the Animal Health division. This is a player-coach role: you will set the…
VP of R&D & Data Science Edinburgh £85,000 – £95,000 AI Connect are partnering with an innovative, scientific technology business to appoint a VP of R&D & Data Science into a genuinely interesting…
Design and scale AI solutions (ML, GenAI, NLP) for public/private sector clients, deploy on cloud, and lead teams while engaging stakeholders in Cheltenham.
Analyzes energy data and models to optimize AI infrastructure for data centers, ensuring compliance, performance, and reliability across Europe for regulated clients.
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
Lead Data Scientist analyzing rail inspection data to identify defect trends, predict failures, and assess risk for North American rail networks. Builds predictive models, mentors a growing team, and bridges data insights to commercial and customer audiences.
Builds backend data services and React dashboards for rail inspection analytics, using Python, AWS, and modern frontend tooling to deliver inspection insights to stakeholders.
Build and maintain data pipelines, ML models, and APIs on AWS that power Zula 2.0, a rail-inspection data platform ranking and fusing inspection outputs.
Own and scale the CI/test infrastructure for an AI hardware accelerator stack, ensuring fast, trustworthy, and cost-effective feedback across simulation, emulation, and hardware-in-the-loop testing.
Senior ML/AI Engineer in NYC builds and deploys production-grade AI systems for demand forecasting, consumer intelligence, and autonomous decision-making using Python, ML frameworks, and graph RAG architectures.
Build ML pipelines to extract and tag rare driving scenarios from petabytes of truck sensor data, enabling safer autonomous trucking through structured scenario libraries.
Develop core software (BrewBase) for a protein production facility, designing full-stack systems to track fermentation, harvests, and food product development. Work closely with scientists to build data-driven tools replacing spreadsheets, with a focus on real-time analytics, process modeling, and automation.
Senior ML engineer building AI/ML systems for national security, turning research into production across cloud, edge, and air-gapped environments using Python, Docker, and modern frontend tools.
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