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The AI Solution Architect will design and lead the implementation of scalable, secure enterprise AI/ML architectures on Microsoft Azure. The role involves managing RAG architectures, MLOps pipelines, and coordinating interdisciplinary teams to deliver innovative AI solutions for the public sector.
Senior Data Engineer on Snowflake, designing and industrializing data pipelines for clients—using Airflow for orchestration, Spark for distributed compute, and Terraform/Docker/K8s for infrastructure and deployment.
ML Engineer at ADASTEC training, evaluating, and deploying perception models (2D/3D object detection, LiDAR, camera-radar fusion) for SAE Level-4 autonomous driving. Core tech: PyTorch, ONNX, TensorRT, Docker GPU training.
ML Platform Engineer builds and scales AI model pipelines, deploys ML services on Kubernetes, and maintains FastAPI-based inference APIs for a large insurer’s internal AI ecosystem.
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the…
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
Senior AI Engineer designing and operationalizing ML/AI solutions—predictive models, GenAI assistants, RAG workflows, and agents—for Teradyne's IT organization, building MLOps/LLMOps pipelines and production-grade practices using Azure AI Foundry, Copilot Studio, Anthropic Claude, Vertex AI, and Snowflake.
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
Research and develop AI/ML security and safety assurance methodologies for mission-critical defense systems, conducting risk analysis, threat modeling, and collaborating with engineering teams in Huntsville, AL.
Founding ML Engineer building production-grade ML pipelines and deploying LLMs/generative models from the ground up at an early-stage AI company, using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Data Scientist/ML Engineer at Ayesa Digital in Burgos, Spain, responsible for the full data and ML lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, MLflow, and PySpark.
abra professional services is seeking a Senior Generative AI Engineer! This is a hands-on role combining deep technical expertise with strategic thinking to design, develop, and implement advanced Generative AI…
The AI DevOps Engineer will design and maintain infrastructure, CI/CD pipelines, and MLOps environments to support the deployment of AI solutions. The role requires leveraging generative AI tools for automation and scripting while collaborating with data scientists and developers to ensure scalable, secure production operations.
Senior MLOps/DataOps engineer builds and maintains scalable data and ML infrastructure for a large e-commerce company, focusing on DWH, Airflow pipelines, and CI/CD automation.
The MLOps Engineer will manage machine learning workflows and infrastructure using tools like Azure ML, AWS SageMaker, MLflow, Docker, and Kubernetes. This is a remote role at a software development company with a 20-year history.
Machine Learning Engineer at NTT DATA in Peru, building and maintaining ML solutions using Python, GitHub Actions, and orchestration tools like Airflow within a large IT services consultancy.
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