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Senior ML Engineer (all genders)
DEINE ROLLE Produktionsarchitektur gestalten: Du konzipierst und implementierst skalierbare ML-Architekturen für hochverfügbare Enterprise-Anwendungen. Trainings- und Inferenzpipelines entwickeln: Du baust robuste…
Backend Developer - Microservices & AI Integration (all genders)
Backend developer at adesso building and scaling Java/Spring Boot microservices for the br.AI.n and SemReasoner semantic AI platform in Frankfurt. Day to day: integrating LLM APIs and MCP servers into an agentic architecture, owning CI/CD pipelines, deploying to Kubernetes and cloud (AWS/Azure/GCP), and helping with MLOps workflows.
AI Engineer
HAVI, a supply chain services company, is hiring an AI Engineer for a hybrid role in Chicago to design, train, and deploy production-ready ML/DL and agentic AI solutions for supply chain analytics (demand planning, pricing, optimization). Core stack: Azure Databricks, PySpark, SQL, Azure Data Factory, TensorFlow/PyTorch, and MLOps tooling.
AI/ML Scientist
Requisition ID: 101203 Job Category: Digital Location: Katowice, Slaskie, Poland Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 70 years of…
Data Engineer
Data engineer building the data foundation for VinFast's AI Mobility Assistant (ViTA): turning ad-hoc data drops into scheduled, dependable ingestion pipelines and data products (Vehicle360, trips, Customer360). Core stack: Python, SQL, Airflow 3, Spark/EMR, dbt, ClickHouse, and an S3 medallion lake on AWS.
Machine Learning Engineer
As an ML Engineer at Sogeti (Capgemini Group) in Stockholm, you design, train, deploy and maintain AI/ML solutions for clients on cloud platforms like Azure and AWS — covering model development, MLOps, and generative AI (LLMs, RAG, AI agents) using Python, Databricks, MLflow, Docker and CI/CD.
Databricks AI Architect
A hybrid role based in London designing and leading delivery of Databricks Lakehouse and Azure AI data platforms for Capgemini's clients, spanning GenAI (RAG, LLMs), agentic workflows, and MLOps/LLMOps. Requires UK Security Check (SC) clearance eligibility.
ABL - Consultor Mlops
MLOps consultant at Capgemini Mexico (hybrid, Mexico City) who designs and runs the full ML model lifecycle: building CI/CD pipelines, automating training/validation/deployment, versioning data and models, and monitoring production models. Core stack includes MLflow, Kubeflow, Airflow, Docker and Kubernetes, with 2+ years of MLOps/DevOps for AI required.