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The Data Scientist will collaborate with stakeholders to identify business needs and develop predictive models using Python, machine learning frameworks, and big data technologies. The role involves conducting exploratory data analysis and deploying data-driven solutions to optimize business processes.
Data Scientist – Job Description (10+ Years Experience) Job Title: Data Scientist Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics Location: Canada Role…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft…
Design and deploy end-to-end AI/ML solutions on AWS for enterprise customers, from proof-of-concept to production, using cloud-native tools and modern architectures.
The AI Engineer will design, develop, and deploy production-grade Agentic AI and Generative AI systems for BMO Capital Markets. The role focuses on building scalable AI platforms, LLM-based applications, and orchestration frameworks to support investment banking and global markets.
We are looking for an AI / ML Engineer who will design, build, and deploy AI-driven solutions for real-world business use cases. The role focuses on applying existing AI models and tools, integrating them into…
Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance. Collaborate with cross‑functional teams, including data scientists, software…
StaffSoftware Engineer, AI Ready to build the AI that transforms how professionals work? Join a dynamic, high-caliber team at Thomson Reuters, wherewe'reinvesting boldly in AI and pushing into emerging frontiers…
Lead ML research engineering at RBC Borealis, delivering AI projects end-to-end—from data preprocessing to production—using Python and deep learning frameworks (PyTorch/JAX/TF) on large-scale datasets for NLP, generative AI, and time series problems.
About Kindsight Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest…
AI Engineer designing and productionizing enterprise-grade AI/ML and Generative AI solutions on Snowflake (Cortex), using Python, SQL, and Azure in a 1-year hybrid contract in Toronto.
Sanctuary AI - a multi award-winning LinkedIn Top Startup company - is looking to hire a Machine Learning (ML) Operations Engineer. Reporting to the Data Collection Team Lead, you’ll gain a comprehensive understanding…
We’re looking for best in class engineers to join our existing top-notch team. When you join Untether AI, you will be part of a team that designs, develops and verifies the software that interacts with our chip,…
Senior Data Scientist at Pinterest leading Trust & Safety and Content Quality measurement—designing sampling frameworks, prevalence tracking, and statistical methodologies using Python, SQL/Spark, and ML frameworks like PyTorch/TensorFlow.
The Senior AI/ML Infrastructure Engineer builds and maintains the platform, tooling, and Kubernetes-based infrastructure required to train and deploy large-scale machine learning models. The role focuses on enabling ML engineers and researchers through scalable platform SDKs and GPU-optimized compute environments.
The Senior Machine Learning Engineer will design, develop, and deploy NLP and LLM-based solutions into production environments. The role involves architecting scalable ML pipelines and collaborating with cross-functional teams to integrate AI models into the company's geospatial platforms.
Design and build AI-powered web applications by developing ML models with PyTorch and integrating them into production systems via Python (FastAPI/Flask) or Java (Spring Boot) backends, with deployment on cloud or on-premise infrastructure.
This role involves conducting empirical computer science research and developing next-generation database and AI data infrastructure. The engineer will design and prototype high-performance data management systems using C, C++, Rust, or Go, while collaborating with academic institutions and internal product teams.
The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
The Software Developer will work in Lleida on Odoo-based projects, handling full-stack development, DevOps tasks, and cloud infrastructure. The role involves collaborating on the full software lifecycle using technologies like Python, JavaScript, TypeScript, and various AI libraries.
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