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Machine Learning Engineer at FloVision Solutions designing, developing, and optimizing computer vision models and deep learning capabilities. Work across the ML lifecycle from data collection to deployment, using Python, PyTorch/TensorFlow, and other ML libraries.
Build and maintain the CI/CD, MLOps, and Internal Developer Platform that lets AI teams deploy models and services without opening tickets, using Kubernetes, Terraform, and observability tools.
Build and scale cloud-native AI infrastructure using Kubernetes and Docker, automate CI/CD/MLOps pipelines, and ensure high availability for GPU-powered AI workloads.
Senior AI/LLM Engineer at ASOS designing and industrializing core AI capabilities using Azure AI stack. Role involves building LLM-powered systems, RAG pipelines, and multi-agent orchestration for customer experience and operational decision-making.
Teach live AI/ML sessions, review student projects, and mentor engineers transitioning into AI roles using production-grade systems and frameworks.
Build and maintain scalable data pipelines for computer vision workloads, processing images, videos, and metadata using ETL tools, NiFi, Prefect, and OpenCV.
The Senior Machine Learning Engineer will design and implement end-to-end LLM and generative AI pipelines for production environments. The role involves working with cloud platforms, MLOps, and various AI frameworks to build scalable, high-quality AI solutions.
Overview The Senior Engineer is responsible for designing, building, and maintaining the Machine Learning and AI platform. The role focuses on developing shared tools, services, and engineering patterns that enable…
En nous rejoignant à titre de Chef·fe d’équipe – Systèmes de comportements IA, vous intégrerez une équipe multidisciplinaire (données, programmation, conception de jeu et narration, animation, etc.) guidée par une…
Senior AI Ops engineer ensuring production AI systems for government/enterprise clients remain stable, performant, and compliant with SLAs. Focuses on MLOps, model governance, incident response, and automation to reduce operational toil.
Build and prototype AI solutions using RAG, LLMs, and modern data infrastructure in a fast-paced R&D environment focused on national security challenges.
Data Engineer building scalable ETL/ELT pipelines and data models on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer) using SQL and Python for enterprise analytics and AI use cases.
Lead application and product security initiatives for a private AI platform company, defining security architecture for decentralized/on-device AI systems, integrating security into the ML lifecycle, and owning cloud/edge infrastructure security.
Чем предстоит заниматься Проектировать архитектуры AI-решений. Проводить сравнительный анализ и выбор технологий. Выполнять прототипирование предложенных решений. Готовить архитектурную и аналитическую документацию…
We are looking for a high-energy, entrepreneurial Account Executive to help build our early commercial motion and convert market interest into repeatable revenue. This is an early-stage sales role: you will work…
Senior AI & Full-Stack Engineer builds and deploys AI-driven systems for fintech platform SmartLend, focusing on automating financial analysis, credit risk assessment, and lender matching using AI/ML, data pipelines, and full-stack development.
Senior Data Scientist building and deploying cutting-edge ML solutions across diverse use cases, working with engineers to integrate models into production environments using Python, SQL, and cloud ML platforms like SageMaker and Vertex AI.
Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in…
The Senior ML Engineer will build and deploy explainable AI models and agentic systems to power 6sense's GTM intelligence products. This role involves end-to-end ownership of machine learning pipelines, from data exploration to production deployment, using technologies like Python, NLP, and GenAI tools.
Design and build AI-powered features for a cloud-native test automation platform, leveraging LLMs and GCP to analyze test and production data, generate insights, and automate failure analysis.
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