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Data Scientist / Study Engineer applying AI/ML (PyTorch, TensorFlow) with Python and C++ at Airbus Defence and Space, working on aerospace projects on-site in Kluftern/Friedrichshafen.
Builds and maintains AI-driven document parsing pipelines (OCR, VLM, multimodal AI) for SingTel’s AIDA unit, extracting structured/unstructured data (PDFs, images, audio, etc.) and optimizing embedding models for semantic search and GenAI applications.
Data Engineer / MLE at Insud Pharma's AI Labs building end-to-end data and ML pipelines for clinical trials, R&D, and drug manufacturing. Core stack: Python, Docker, AWS/Azure, Airflow/Prefect/Dagster, with MLOps practices.
Full Stack Engineer building scalable web apps with AI/ML integration using React/Angular/Vue frontend, Java/Spring Boot or Node.js backend, and cloud/container platforms like AWS, Docker, and Kubernetes.
Job Summary We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on…
The Applied AI Scientist will design and develop AI solutions, including agentic systems and foundation models, to solve real-world business problems. The role involves rapid prototyping, fine-tuning models, and collaborating with engineering teams to deploy scalable AI applications using Python and PyTorch.
The AI Engineer will transform AI prototypes into scalable production systems by building training and inference pipelines. The role focuses on optimizing LLM performance and managing AI infrastructure using tools like Docker, Kubernetes, and PyTorch.
Research Scientist at ByteDance working on ultra-large-scale multimodal recommendation systems, focusing on distributed ML infrastructure, model training/inference optimization, and algorithm-engineering co-design for products like TikTok.
A hands-on research residency embedded with the team building thermodynamic computing hardware that exploits analog dynamics and noise for AI inference, involving simulation, characterization, numerical method design, and co-authoring a paper.
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
4-month co-op ML Software Engineer at RBC Borealis, building ML-based software solutions end-to-end—from data ETL using Hadoop/Spark to implementing ML algorithms and front-end development—within a major bank's AI innovation lab.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Develop and deploy ML models for risk scoring and threat intelligence on a cybersecurity ratings platform, using Python, ML frameworks like scikit-learn/XGBoost/PyTorch, and cloud-based data pipelines.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Senior ML Engineer building self-service ML platform tooling—model packaging, deployment, CI/CD, and observability—using Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow, and GitHub Actions at a lottery and sports betting company in Toronto.
What is the opportunity? We’re looking a Lead AI/ML Software Engineer to drive innovation at the intersection of AI / Machine Learning and financial services. You’ll be responsible for owning and delivering projects…
Job Description This role is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this…
Designs scalable data pipelines, ensures data quality, and drives data modeling for plant breeding using Python, R, SQL, and AWS.
Builds and deploys AI/ML models (ML, deep learning, NLP) to solve energy industry challenges, transitioning legacy SQL reporting to Snowflake, and optimizing data pipelines for business impact.
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