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Senior Data Platform Engineer (Databricks)
Build and optimize high-performance data platforms using Databricks, Spark, and multi-cloud tools to deliver scalable data insights and pipelines for enterprise clients.
AI/ML Operations Technical Leader
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, MLflow, and CI/CD pipelines.
Machine Learning Operations Engineer
Build and deploy scalable ML and GenAI pipelines using Python, Azure ML, and MLflow to productionize models and APIs for a global ingredients and sustainability-focused company.
Machine Learning Operations Architect (with medical device experience)
Architect and own the MLOps infrastructure for adaptive AI models in a regulated medical-device setting, defining versioning, validation, and PCCP-style change-control processes.
AI & Data Engineer (m/f/x)
Build and maintain data pipelines, ML models, and MLOps workflows to scale AI solutions from experimentation to production using Python, cloud platforms, and modern frameworks.
AI DevOps Engineer (MLOps & Cloud)
Design and maintain cloud infrastructure and CI/CD pipelines for AI/ML systems, automating deployments and monitoring production AI workloads.
AI Engineer
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Senior AI Software Engineer – Agentic Frameworks & LLMs
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Senior AI Engineer
Senior AI Engineer designs and deploys enterprise AI systems using TensorFlow, PyTorch, and LLM APIs, building scalable ML pipelines and computer vision/NLP solutions for fintech and healthcare clients.
Agentic AI Engineer
Build and deploy multi-step AI agent workflows using LangChain, LlamaIndex, and platforms like Azure AI Studio Agents or AWS Bedrock Agents, integrating APIs and databases for automation.
Senior AI/ML Engineer - Robotics & Drones
Build and deploy AI/ML perception systems for autonomous robots and drones, fusing sensor data to enable safe navigation in warehouses and industrial settings.
Python & Kubernetes Data AI Platform Engineer
Engineer open-source data/AI platforms using Python and Kubernetes, deploying ML pipelines with Kubeflow, MLFlow, DVC, and Feast for cloud and on-prem environments.
Remote Azure ML Ops Engineer (Spain) – Applied ML & DevOps
Senior ML engineer designs and optimizes Azure-based ML models, pipelines, and data workflows using Python, PySpark, Databricks, MLflow, and Azure ML, with CI/CD and model evaluation.
Principal Data Scientist
Lead the design and delivery of production-grade AI and data science solutions, including generative AI, LLMs, and MLOps, to solve complex engineering and environmental challenges across global infrastructure projects.
Senior Data Scientist
Build and deploy production ML models (propensity, churn, forecasting) in Azure Databricks using Python, PySpark and SQL to drive customer analytics and business decisions.
Senior Data Scientist
Lead end-to-end ML/AI model development and MLOps at a construction and infrastructure firm, setting standards for reproducibility, validation, and responsible AI while mentoring junior scientists.
Machine Learning Engineer
Build and maintain scalable MLOps pipelines to deploy, monitor, and manage machine learning models in production using cloud platforms, CI/CD, and Kubernetes.
Senior AI Engineer - Hybrid
Builds, deploys, and maintains AI/ML models and pipelines using Python, Databricks, and Azure AI to power predictive analytics, NLP, and Generative AI solutions in a production environment.
Data Engineer (MLOps / Analytics Focus)
Builds and maintains scalable Databricks pipelines, deploys ML models via MLflow, and creates Power BI dashboards to support analytics and reporting in a data-driven environment.
Data engineer (mlops / analytics focus)
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards for analytics within an AI-focused product team.