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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.
To lead and optimize GenAI & Agentic AI Operations by driving efficient deployments, automation, and governance across platforms. The role ensures seamless issue resolution, performance monitoring, cost…
Role Overview The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will…
Key Responsibilities Design and implement graph data models using Neo4j for customers, accounts, transactions, devices, and related entities. Develop and optimize Cypher queries for graph analytics and data retrieval.…
Build and own ML models that optimize last-mile delivery operations, from prototyping to production, using Python, TensorFlow/PyTorch, and LLM-based solutions.
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
Design, develop, and deploy autonomous AI agents that automate enterprise workflows using Python, LLMs, cloud platforms (AWS/GCP/Azure), SQL/NoSQL databases, and Docker/Kubernetes.
12-month placement in Keysight's Software R&D team developing AI/ML-powered software for 5G telecommunications systems using Python, machine learning frameworks, and LLMs.
Software Developer for Simulation and GenAI at Airbus Defence and Space, building applications using C++, Python, and ML libraries (TensorFlow, PyTorch, Ray) in an agile environment.
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.
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…
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.
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.
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.
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.
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