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Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
Lead AI/ML Engineer at Nike owning end-to-end ML and generative AI solutions for corporate functions, from design through production, using Python, AWS (SageMaker, Lambda), and MLOps practices.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
The Data Scientist will design and implement predictive models and algorithms to drive business outcomes and optimize client opportunities. The role involves analyzing large datasets using tools like Python, R, and SQL to provide actionable insights for internal stakeholders and clients.
The Lead Data Scientist will develop and implement advanced analytics, machine learning, and optimization models to improve supply chain and plant operations. This role involves partnering with business leaders to drive strategic decisions, mentoring team members, and leveraging tools like Python, SQL, and cloud-based AI platforms.
Develops AI/ML-powered image analysis software for high-content microscopy, designing scalable pipelines to process biological imaging data and enable research insights.
Leads development of a government-focused Investment Data Warehouse (IDW) platform integrating AI/ML, GenBI, and agentic workflows on AWS/Snowflake, designing dashboards, optimizing pipelines, and guiding cross-functional teams.
Build and deploy mathematical/statistical models and ML systems to optimize defense and space-domain operations using Python and data-science libraries.
¿Por qué te estamos buscando? Tu misión será impulsar la capacidad de Data Science dentro del equipo de Data&IA en Mahou San Miguel, trabajando activamente con las diferentes áreas de negocio, en el desarrollo de…
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
Leads AI/ML engineering for a fintech SaaS platform, designing scalable automation solutions (e.g., predictive analytics, NLP, anomaly detection) to streamline workflows and enhance client outcomes.
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
Machine Learning Engineer at a consulting firm, developing and deploying ML models (predictive analytics, classification, clustering) using Python, TensorFlow/PyTorch/scikit-learn, and cloud platforms (AWS/GCP/Azure) across various client engagements.
This role involves building predictive models and data pipelines within the Microsoft Fabric platform to integrate external market data with internal real estate datasets. The Data Scientist/Engineer will manage the full data lifecycle, from ingestion and transformation to MLOps and insight generation for business stakeholders.
The Head of IT and Information Security will build and manage the internal infrastructure, cybersecurity posture, and compliance frameworks for a seed-stage AI startup. This role involves overseeing IT operations, vendor management, and security audits to support the company's rapid growth.
Lead the design, development, and deployment of AI/ML and Generative AI solutions for semiconductor/NAND manufacturing and business operations using Python, ML frameworks, and MLOps pipelines.
Build and deploy AI/ML models in Python using TensorFlow/PyTorch to power business products, integrating them via cloud platforms and MLOps pipelines.
This senior machine learning engineer role involves designing, developing, and testing machine learning and deep learning systems, with a specific focus on NLP and BERT models. The position is a one-year onsite contract based in Toronto.
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