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Randstad Italia S.p.A. Randstad Digital, divisione specializzata nella ricerca e selezione di profili ICT, ricerca per conto di un'interessante azienda operante nel settore dello sviluppo tecnologico avanzato un…
The Data Scientist will design and implement scalable AI and Generative AI solutions to improve business efficiency and customer experience. The role involves building production-grade applications using Python, SQL, LLMs, RAG, and agentic AI frameworks.
Operate and evolve a Databricks-based data engineering and analytics platform, build data pipelines for ML/AI use cases, and ensure data quality and governance for a large European omnichannel fashion retailer.
Design, build, and operate scalable data infrastructure and MLOps platforms for Doodle's B2B SaaS scheduling product, using Python, SQL, cloud infrastructure, containers, and IaC.
Q-Tech is currently looking for an MLOps Engineer to join one of Europe's leading online marketplaces. The company is investing heavily in Artificial Intelligence and Machine Learning, and is looking for an…
Lead AI/MLOps strategy and execution to deploy production-grade AI solutions across Sobeys’ enterprise, driving measurable business impact and setting governance standards for cross-functional teams.
Leads ML strategy, architecture, and team for a product company, designing signal processing and ML systems for production, optimizing model performance, and managing MLOps pipelines.
Lead enterprise AI & MLOps delivery, governance, and operating models at Sobeys on a 6-month contract, transitioning AI/ML solutions from pilot to production across a major Canadian grocery retailer.
Build and scale enterprise AI systems using Python, transformer models, and RAG pipelines; design agentic workflows and optimize ML observability in a hybrid Montreal office.
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
Design, build, and scale enterprise-grade AI systems using Python, Agentic Workflows, deep learning, NLP, and Generative AI, with focus on RAG pipelines, tokenization, embeddings, and MLOps observability.
Build and operate cloud-native AI/ML platform services at BMO as a new graduate, focusing on Infrastructure as Code, CI/CD pipelines, and scaling AI infrastructure using Azure/AWS/GCP.
Senior full-stack engineer building and maintaining mission-critical enterprise applications with Python and React for Fitch Ratings' analytical workflows in Toronto, with growing focus on AI/LLM integration.
Machine Learning Engineer at a Belgian data/AI consulting firm, translating business needs into ML solutions, deploying and maintaining models in production, and building cloud-based ML pipelines following MLOps best practices for various clients.
An AI Engineer at a small consulting firm collaborates with clients to design, build, and deploy AI/data solutions, focusing on Azure cloud and MLOps best practices while mentoring junior team members and driving business value through tailored AI strategies.
Lead the design and delivery of an agentic digital assistant inside Microsoft Teams for a major financial services client, building LLM-driven features, RAG pipelines, and persona-driven reporting using Python, AWS, and GenAI/LLM technologies.
Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
Job Description: AI Architecture & Leadership Manager Job Title: AI Architecture & Leadership Manager Experience: 10+ Years Location: Pune / Bengaluru / Hyderabad / Mumbai Employment Type: Full-Time Job Summary…
Build and maintain end-to-end AI/ML pipelines, deploy models to production, and optimize inference for performance and scalability using cloud-native tools.
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