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Data Scientist at Thales
Build and deploy AI/ML models for aeronautical domains, including transformers, reinforcement learning, and RAG pipelines, to optimize air traffic and support decision-making.
Machine Learning / AI Engineer (Contract)
Build and deploy ML models end-to-end, automate retraining and monitoring, and ensure responsible AI practices in production.
Architect – AI & Data Science
Lead the design and implementation of scalable AI and data science solutions for banking, integrating ML platforms, MLOps, and responsible AI practices.
AI Infrastructure Engineer (GPU) - Remote EMEA
Build and operate scalable GPU-powered infrastructure for real-time AI model inference using frameworks like vLLM or Triton, ensuring high availability and cost efficiency.
Machine Learning Engineer
Build and scale production ML systems, turning research into robust, cloud-native pipelines using Python, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Data Platform Engineer
Senior data engineer builds and optimizes ML feature pipelines in batch, streaming, and nearline modes using Spark, Python, and Kafka to power IVI’s media platform.
Robotics Data Infrastructure Engineer
About the Role This role sits at the intersection of robotics and data infrastructure at a well-funded, early-stage robotics company. You'll be responsible for building reliable pipelines and storage systems that…
Data Scientist
Build and deploy AI models for air-traffic optimization using PyTorch/TensorFlow, reinforcement learning, and RAG pipelines, then ship them to Kubernetes in a cloud-native stack.
Lead GCP MLOps Engineer
Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and IaC.
Advanced Engineer - AI/ML with Devops(GCP,AWS)
Build and deploy AI/ML models and automate end-to-end ML workflows using Python, CI/CD, and cloud platforms (GCP, AWS).
Advanced Engineer - AI/ML with Devops(GCP,AWS)
Build, deploy, and automate AI/ML models and pipelines on AWS/GCP using Python, CI/CD, and MLOps tools for automotive infotainment systems.
Senior Artificial Intelligence/Machine Learning Engineer
Builds enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in finance and other industries.
Senior Software Engineer, AI
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity using NLP, retrieval-augmented generation, and agentic workflows.
Machine Learning Engineer, AI Inference Solutions (University Grad)
Build and optimize ML deployment platforms and inference pipelines for autonomous-vehicle software, shipping PyTorch models to GM’s Super Cruise fleet with real-time latency and safety constraints.
Machine Learning Engineer II (MLOps)
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Senior Software Engineer, AI
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity.
Machine Learning Engineer II (Underwriting ML)
Build and improve ML systems that make real-time underwriting decisions for Affirm’s buy-now-pay-later checkout, using Python, PyTorch, and distributed data tools.
Machine Learning Operations Engineer (Remote)
Build and deploy AI/ML models and MLOps pipelines for government AI projects, integrating generative AI into scalable web applications and collaborating with Army stakeholders.
Principal Associate Data Scientist, Customer Protection Debit Transaction Fraud
Build and deploy ML models to detect and prevent real-time debit transaction fraud using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.