Tech jobs
Job listings
AWS Engineer with DevOps
Build and maintain the MLOps infrastructure for a large European online marketplace, automating ML workflows and deploying AI models at scale using cloud-native tools.
Aws Engineer, DevOps, Machine Learning
Build and maintain the ML platform and MLOps tooling that deploys, scales, and monitors AI models for a large European online marketplace.
Cloud-Native Architekt (m/w/d) - Kubernetes, CNCF, MLOps
Designs and evolves cloud-native software on Kubernetes and CNCF stacks, ensuring scalability and reliability for critical infrastructure in energy, water, and industrial systems.
Senior MLOps Engineer
Build and operate the production ML/LLM platform for healthcare workflows, including training, deployment, monitoring, and compliance systems on GCP.
AI Engineer in Synthetic Data
Designs and refines ML data pipelines for distributed training and validation of AI models that enable formally verifiable software, using Python/C++ and frameworks like PyTorch/TensorFlow.
Data Scientist (M/F/ND)
Build and deploy ML models for pricing and underwriting in an insurer, using Python, SQL, AWS SageMaker, and MLOps tools.
Data Engineer New Cambridge, Ontario, Canada
Design and build scalable data pipelines, ML workflows, and governance frameworks on Azure to enable analytics and AI across an insurance company.
Data Engineer
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
DevOps Team Lead
Leads a DevOps/Platform Engineering team to transform a proprietary AI-driven market model into a Kubernetes-native, self-service infrastructure platform, focusing on scalability, observability, and cross-functional enablement for rapid internal delivery.
AI Engineer
Build and deploy production-grade AI and Generative AI solutions for clients, using cloud platforms, MLOps, and frameworks like TensorFlow/PyTorch.
AI Engineer
Build and deploy AI-powered systems like LLM apps and RAG pipelines for enterprise clients, integrating models into production while maintaining scalable data pipelines and MLOps workflows.
DevOps Engineer
Senior DevOps Engineer designs, migrates, and operates AWS cloud platforms for enterprise clients, building scalable CI/CD pipelines and containerized workloads with Terraform and Docker.
AI/ML Engineer (Remote)
AI/ML Engineer designing and deploying GenAI, RAG, agentic frameworks, and ML models on Luma's fintech platform, using Python, ML libraries, vector databases, and optionally AWS SageMaker/Bedrock.
Data Scientist / Machine Learning Engineer
Build, train, and deploy ML/DL models (NLP, clustering, anomaly detection) in Azure/Google Cloud, integrating them into production pipelines using MLOps and cloud-native tools.
Data Scientist / MLOps Engineer - 100% teletrabajo - Remoto
Build and deploy ML models and MLOps pipelines using Python, Spark, SQL, and FastAPI in a fully remote role.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA - valència
Senior Data & AI Engineer / MLOps Engineer to industrialize AI solutions, deploying ML models and LLM agents into production while ensuring data pipelines, security, and governance meet enterprise standards.
Data Scientist / MLOps Engineer - 100% teletrabajo
Build and deploy ML models and data pipelines using Python, Spark, and FastAPI, iterating from experimentation to production in a fully remote role.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA
Senior Data & AI Engineer / MLOps Engineer to industrialize AI solutions, deploying ML models and LLM agents into production while ensuring data pipelines, security, and governance meet financial-sector standards.
Data Engineer
Build and maintain scalable ETL pipelines, cloud data infrastructure, and MLOps workflows in AWS using Spark/Databricks, while integrating agentic AI and LLM-based solutions for Zurich Insurance Group’s Technology Delivery Center.
Data Engineer with Azure DevOps
Build and automate data pipelines in Azure Data Factory and MLOps tooling in Azure DevOps to move and transform data for analytics and AI workloads.