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Data Engineer based in Papeete, French Polynesia, responsible for designing decisional data models (ODS, DW, datamarts), building ETL pipelines with Talend/Talaxie/Python/dbt, and creating PowerBI dashboards, while leveraging AI tools to enhance data and BI workflows.
The AI Embedded Engineer IV integrates AI models onto autonomous vehicle hardware, managing the deployment, optimization, and real-time performance of robotics software. This role balances software development in C++ and Python with hands-on hardware tasks like sensor integration, wiring, and field testing.
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
The Applied AI Engineer will build and deploy end-to-end AI features by integrating machine learning models into production systems. The role involves optimizing model performance, designing agent workflows, and ensuring reliability using technologies like Python, PyTorch, JAX, and LLMs.
Build and improve production ML components across data pipelines, training, evaluation, and inference using Python, PyTorch/JAX on GPUs.
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
Design and build agentic workflows and AI-assisted tools using LLMs and retrieval systems to automate business processes in a manufacturing context.
The Cyber Infrastructure Engineer focuses on designing, deploying, and maintaining cybersecurity solutions with an emphasis on Database, Application, and Cloud Native security. The role involves pre-sales support, technical implementation, and providing ongoing consultation and troubleshooting for clients.
The Lead AI Engineer will design and deploy production-grade computer vision and speech processing pipelines for Digital Green's multilingual agricultural advisory platform, FarmerChat. This role involves building optimized inference systems, defining evaluation frameworks, and mentoring junior engineers to support smallholder farmers globally.
This role is a hands-on product leadership position responsible for the AI/ML roadmap of the Operator Suite, a B2B platform for venue parking management. The candidate will define product strategy while acting as an individual contributor to prototype and evaluate predictive models, dynamic pricing, and LLM-based applications.
Director-level AI Architect at PwC's Data & Analytics Advisory practice in Bengaluru, designing ML pipelines, LLM serving/GPU infrastructure, and LLMOps solutions for clients using cloud platforms and frameworks like MLflow, DeepSpeed, and LangChain.
Senior AI Engineer designing and delivering production-grade RAG pipelines, agentic workflows, and LLM-optimised systems using Python, LangChain/LangGraph/LlamaIndex, and cloud infrastructure.
About Evinova Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. Role Overview Evinova is seeking an entrepreneurial, AI-fluent…
Who you are The overall purpose of this role is last mile route planning for customers’ services. You will be responsible for maintaining and changing various parameters in our transport management system to efficient…
The AI Engineer will modernize legacy training and compliance platforms by integrating production-grade AI systems, including LLMs, RAG pipelines, and autonomous agents. This role involves working within a .NET/C# stack to build scalable, secure AI-native architectures while driving business impact.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Design and deliver production-grade ML and Generative AI systems—including LLMs, RAG, and Agentic AI workflows—using Python, agentic frameworks, and major cloud platforms as an individual contributor on Fortive's AI and Automation team.
Build deep learning models from scratch (custom transformer architectures) to detect fraud and account sharing at Adobe in Bangalore, owning the full ML lifecycle from feature engineering on Databricks/Spark through large-scale GPU training to production deployment and monitoring.
Machine Learning/AI Scientist PhD Intern at Netflix working on ML research including personalization algorithms, recommender systems, NLP, computer vision, and other ML areas using frameworks like PyTorch and TensorFlow.
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