Tech jobs
Job listings
Data Engineer
Data Engineer in Warsaw (remote possible) who designs, builds, and maintains big-data ETL and analytics platforms — Python, Scala, Spark, HDFS/Hive — delivering data-access tools (Airflow, JupyterHub, Trino, Superset, MLFlow) on Kubernetes with Docker, ArgoCD, GitLab-CI, and Prometheus monitoring.
Senior Software Engineer, Data & AI Platform
Senior Software Engineer builds and scales a cloud-native data platform with AI tools for Omada Health, focusing on data pipelines, governance, and Generative AI integrations.
Senior Machine Learning (MLOps) Engineer
Senior MLOps engineer on a 12-month renewable contract (via Nöord Technologies for a major Montreal bank) building AI/GenAI initiatives for Capital Markets: designing, training and deploying ML models on AWS (SageMaker, Bedrock, Lambda), senior-level Python and REST API development, and building MLOps/LLMOps infrastructure in a hybrid Montreal role.
Ai Engineer / Full Stack Developer – Ai Reporting & Insights
Full stack AI engineer at Mondelēz building an AI-powered insights platform in Madrid: designing data pipelines (Python, Databricks, AWS), deploying LLM/RAG workflows, and shipping React/Next.js applications that turn market data into recommendations, with Terraform, Docker, and CI/CD.
Senior/Principal Visual ML Engineer
Senior/Principal ML engineer designing and deploying generative visual AI systems — image/video generation, editing, and brand-aware creative automation — using VLMs, diffusion models, and PyTorch, with fine-tuning, multi-agent pipelines, and cloud GPU/MLOps infrastructure. Remote US-based role serving digital advertising (MarTech/AdTech) use cases.
Data & ML Platform Engineer (Hybrid)
Data & ML Platform Engineer at Homebase in Toronto (hybrid, Tue/Wed in-office): one of two engineers owning the data/AI platform — CDC & streaming ingestion (Kafka, Debezium, Spark, Delta), Databricks/Terraform infrastructure, and gRPC/LLM serving. Core stack: Python, SQL, Kafka, Spark, Terraform, containers, MLflow.
Manager Data Engineering-ML Ops
Manager leading Gore Mutual's data engineering and ML Ops team in Toronto: building scalable data pipelines, deploying and monitoring ML models in production, and coaching engineers. Stack includes Python/Java/Scala, Databricks, MLflow, Kubeflow, cloud platforms, and Docker/Kubernetes.
Senior MLOps Engineer
Senior MLOps Engineer (Madrid, remote-friendly) who builds, automates, and maintains end-to-end ML pipelines and production ML platforms — handling experiment tracking, model registry, deployment, and monitoring with Databricks and MLflow. Requires 5+ years in MLOps/ML engineering, strong Python, CI/CD, and cloud experience.
Technical Project Manager - Databricks / Spark
Technical Project Manager in Zürich leading Agile delivery of a client's data platform built on Databricks and Apache Spark — overseeing pipelines, cluster usage, cost, governance, and coordinating engineers, architects, and business stakeholders.
AI ARCHITECT
Contract (1099, $55/hr, 12+ months) onsite role in Carlsbad, CA: architect end-to-end Generative AI/LLM solutions (chatbots, RAG, semantic search) using OpenAI, Claude, Gemini, Databricks with Unity Catalog, LangChain/LlamaIndex, and vector databases. Requires 7+ years in AI/ML architecture and current California residency.
AI Architect
Senior AI Architect role in Carlsbad, CA, designing and deploying enterprise LLM solutions — chatbots, RAG pipelines, semantic search, and assistants — governed via Databricks Unity Catalog. Requires 7+ years in AI/ML architecture, 2+ years with GenAI/LLMs, strong Python, and OpenAI/Claude/Gemini API experience. Only CA-based candidates are considered.
MLOps Engineer (SC Clearance)
At CGI, you will play a pivotal role in enabling the deployment and operation of advanced AI systems that support critical national security outcomes. Working within our Space, Defence and Intelligence business unit,…
Machine Learning Engineer (Computer Vision & Azure) | Hybrid Setup
Senior Machine Learning Engineer joining a client's AI/Data Intelligence team (retail-tech AI), working on dataset quality, ML pipeline building, experimentation, model evaluation, and production deployment of computer vision/multimodal models in Azure. Hybrid 3 days/week in Makati City on a US-hours night shift.
AI/ML Engineer (Computer Vision) | Hybrid Work Setup
Senior machine learning engineer focused on computer vision for an AI/retail-technology company: owning the full ML lifecycle — dataset validation, experimentation, model deployment and monitoring in Azure — plus SQL analysis of large datasets to power consumer insights. Hybrid role in Makati on a US-hours night shift.
Machine Learning Engineer (Mid-Level)
Mid-level ML engineer at a Dallas SaaS firm serving US auto dealerships, building NLP/LLM models for call tracking and conversational AI products. Day to day: develop and deploy models (PyTorch, TensorFlow, Hugging Face), build APIs and data pipelines, and run MLOps on AWS with Docker, Kubernetes, and Terraform. In-office in Dallas.
Senior Data Engineer
Senior Data & ML Engineer at Paysend (Belgrade) owning data solutions end-to-end: building pipelines and data marts on Databricks with Python, PySpark and SQL, operationalizing ML models via MLOps, and acting as data partner to commercial stakeholders. Paysend is a global fintech moving money worldwide.
Data Engineer
Data Engineer on Generali's Data Technologies, Analytics and BI team, building and maintaining scalable data pipelines, ETL processes, and cloud data lakes/warehouses to support analytics, ML models, and AI-driven decisions. Core stack: Python, SQL/Scala, Spark, cloud platforms (AWS/Azure/GCP), and MLOps tools like MLflow and Kubeflow.
Backend Software Engineer Python ML AWS
Senior hands-on backend engineer at a fast-growing European car insurance tech company, working in a cross-functional team with data scientists and ML engineers to put machine-learning models into production for insurance underwriting and pricing. Core stack: Python, AWS, and modern engineering practices.