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The AI Solutions Engineer will design and build generative AI and agent-based workflows to automate business processes and improve client services at an asset management firm. The role involves working with Python, LLMs, RAG, and enterprise AI platforms to deliver secure, scalable solutions.
The AI Solutions Engineer builds and deploys production-ready AI assistants, agents, and workflow automations for a financial services firm. The role involves end-to-end development using Python, RAG, and enterprise AI platforms while collaborating with data engineering and MLOps teams.
Builds and deploys AI/ML systems for lululemon’s retail ecosystem, covering dataset curation, model training, and production monitoring. Focuses on scalable solutions for classification, regression, and generation tasks using cloud platforms and distributed frameworks.
For Canada Applicants: This posting is for an existing vacancy. the company utilizes AI tools to assist in assessing candidates in our hiring processes. Note: By applying to this position you will have an opportunity…
AI/ML Engineer at lululemon designing and implementing end-to-end ML systems across the full model lifecycle—training, deployment, and monitoring—using Python, PyTorch, distributed training frameworks, and cloud ML platforms like SageMaker, Vertex AI, and Azure ML.
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.
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or…
Position Summary We are seeking an Intermediate Fullstack AI Platform Engineer to help build production AI agents and agent-backed workflows on AWS. This is a hands‑on engineering role for someone who has built real…
Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 2 years of experience developing toolchain components (e.g., compilers, linkers, debuggers, system libraries). 2…
Publicis Groupe is seeking a Full-Stack Engineer to develop and support .NET applications, Web APIs, and databases. The role involves integrating AI solutions like Gemini and Vertex AI within an agile SCRUM environment.
Publicis Groupe is seeking a full-stack engineer to develop and support web applications and APIs using .NET, C#, and SQL Server. The role involves working in an agile environment to integrate AI solutions like Gemini and Vertex AI into scalable web platforms.
The Full-Stack Engineer will design, develop, and support .NET-based web applications and APIs while integrating AI capabilities using tools like Gemini and Vertex AI. The role involves working in an agile environment to optimize application performance and scalability.
The Full-Stack Engineer will design, develop, and support .NET-based web applications and APIs while integrating AI capabilities using tools like Gemini and Vertex AI. The role involves working in an agile environment to optimize application performance and scalability within a global communications group.
Builds secure, cloud-native applications and AI-enabled platforms for government cybersecurity projects, focusing on automation workflows, IaC, and CI/CD pipelines across AWS/Azure/GCP.
MLOps/ML Engineer taking models from experimentation to production using GCP Vertex AI, Python, BigQuery, and data pipelines in a hybrid role in Madrid.
Design, build, and scale production-grade Generative AI and Agentic AI applications for enterprise clients using Python, LLMs, RAG, agent frameworks (LangChain, etc.), Docker, and Kubernetes in a non-remote role in Brazil.
Build and own ML models that optimize last-mile delivery operations, from prototyping to production, using Python, TensorFlow/PyTorch, and LLM-based solutions.
This role involves building machine learning models, NLP tasks, and chatbot applications using Python, SQL, and Google Cloud's Vertex AI and Gemini. The data scientist will work on RAG applications and vector databases in a lean environment.
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.
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