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Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
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.
Full Stack AI Developer building AI-powered web applications for a European Agency, using Python, LLMs, Gradio, Java, and AWS infrastructure at an IT consultancy.
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.
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.
Build and ship backend services powering PwC Middle East's AI products — designing RESTful APIs, orchestrating LLM inference pipelines, and containerizing services using Node.js/Python, Docker, and Azure OpenAI.
Build and evaluate post-training pipelines for LLMs that generate clinically sound behavioral health documentation, ensuring accuracy and compliance in a high-stakes healthcare setting.
The Gen AI Engineer designs and implements retrieval-augmented generation (RAG) pipelines for banking clients using the Azure AI stack and Python-based frameworks. The role focuses on building secure, traceable, and accurate AI systems, including prompt orchestration, guardrails, and vector database management.
This GenAI Engineer role focuses on designing and implementing RAG pipelines and agentic AI solutions for banking clients using the Azure AI stack and Python-based frameworks. The position requires building secure, compliant, and traceable AI systems with a strong emphasis on guardrails, vector databases, and model evaluation.
The AI Solutions Architect will lead the design and implementation of end-to-end AI/ML and RAG systems for banking clients, ensuring compliance with regulatory standards. The role involves defining technical architecture across Microsoft Azure and open-source stacks while mentoring a team and establishing engineering guardrails.
Senior Backend Engineer architecting and scaling the Slingshot GenAI platform for the animation/VFX industry, using Python, Docker, AWS (ECS/Fargate), Infrastructure as Code, and REST APIs in a hybrid Vancouver role.
Develop and deploy GenAI solutions (LLMs, RAG, agents, copilots) in Python, integrating AI models into internal systems via APIs while ensuring production readiness and AI Act compliance.
Full Stack Developer on a 12-month contract who builds end-to-end web applications and integrates AI/GenAI capabilities (RAG, LLMs, chatbots) into enterprise solutions, using modern JS/TS frontends, Node.js/Python/Go backends, and cloud platforms, while leveraging AI-assisted coding tools daily.
Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
Build and deploy machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
Build and productionize LLM-powered features: design prompts, integrate foundation models, automate evaluation/benchmarking, and monitor quality, safety, and cost for GenAI solutions.
Senior AI Engineer leads development of LLM-based language and voice technologies for healthcare, focusing on RAG, classification, and fine-tuning to enhance patient-provider interactions via conversational AI systems.
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