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Lead AI/ML Engineer defining architecture and strategy for enterprise AI/ML pipelines, mentoring teams, and integrating LLMs and Generative AI into production using Python, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and MLOps tooling.
Build and deploy AI-driven simulation tools for engineering customers, integrating ML models into production systems using Python, PyTorch, and fastAPI.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack…
Senior Machine Learning Engineer at PhysicsX builds and deploys AI models for engineering simulation, working directly with customers to integrate ML into production tools using Python, PyTorch, and cloud/on-prem pipelines.
Senior ML Engineer builds and deploys AI-driven simulation tools for engineering workflows, focusing on geometry-aware models and robust pipelines using Python, PyTorch, and fastAPI.
Build and maintain the ML platform powering humanoid robotics, including data pipelines, training, evaluation, and deployment for AI models at fleet scale.
Design and ship production ML/AI systems—LLM assistants, chatbots, recommenders, spam detection, and search—at TradingView's Limassol office, using Python/Go with Docker, Kubernetes, and MLOps infrastructure.
Designs and builds scalable data pipelines and AI architectures, deploys deep learning models, and leads statistical modeling for production systems using Python, PySpark, and ML frameworks.
Role: GenAI Lead Engineer Experience: 8+ years total (with significant hands-on GenAI / LLM work) Job Overview: We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the…
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Designs and sells high-performance GPU and HPC cloud solutions for AI workloads, translating customer needs into feasible architectures while collaborating with engineering teams.
Senior ML Engineer bridging data science and engineering to productionise, deploy, and scale machine learning systems using Python, Kubernetes, Kafka, and cloud infrastructure at a fintech SME lender.
Customer-facing Solutions Architect designing cloud infrastructure and MLOps solutions for AI/ML teams, combining hands-on IaC, GPU computing, Kubernetes, and Python work with technical advisory, workshops, and proofs of concept.
Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
Builds and deploys AI-driven payment systems (LLM-powered workflows, fraud detection, personalized checkout) at scale for Airbnb’s global transactions, optimizing payouts/collections while ensuring low latency and security.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
The Staff Product Software Engineer (ML) will lead the development of prediction and optimization engines for Disney's advertising platforms. The role involves designing scalable AI/ML solutions, mentoring team members, and collaborating across teams to enhance ad serving capabilities using Java, Python, and Scala.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
Senior Associate Data Scientist developing and deploying ML/forecasting models to support business decision-making at Amgen's Hyderabad office, using Python, SQL, and MLOps practices across the full model lifecycle.
The Senior Specialist, Data Science will design and maintain automated ELT pipelines using dbt Core and GCP, while managing infrastructure via Terraform and supporting MLOps initiatives. The role focuses on building scalable data architectures, optimizing BigQuery performance, and integrating enterprise data sources.
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