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Location: Europe only Employment type: Full-time, Remote About the Role We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and…
Solutions Engineer at Domino Data Lab builds tailored proof-of-concepts and technical strategies for life sciences clients, focusing on AI/ML workflows, data governance, and reproducibility in regulated environments like drug discovery and clinical analytics.
Builds backend services and APIs for Domino’s AI governance platform, integrating data systems and improving model lifecycle management using Java/Scala/Go in a cloud-native stack.
Forward Deployed Engineer embedded in public sector customer environments (Maryland, 5 days/week on-site) building production-grade AI/MLOps workflows on the Domino platform using Python, Kubernetes, Docker, and cloud infrastructure (AWS/Azure/GCP).
Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development…
The AI Automation Engineer will design and deploy autonomous AI agents and workflows to automate business, supply chain, and manufacturing processes. The role utilizes Python, LLM orchestration frameworks like LangChain, and Azure/Microsoft Fabric to build production-grade agentic systems.
About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data…
Platform engineer designing and operating multi-account AWS infrastructure, EKS clusters, CI/CD pipelines, and internal tooling for a defense AI company, ensuring CMMC/NIST compliance.
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with…
Команда Управления благосостояния ПАО "Сбербанк" ищет профессионала на позицию Middle Data Scientist. Мы занимаемся разработкой и внедрением ML моделей на огромной клиентской базе B2C и B2B с целью предложения…
Showtime Consulting is seeking a Senior Data & AI Engineer to design and deliver enterprise-scale AI, data platforms, and agentic solutions. The role involves building production-ready data pipelines, implementing RAG and LLM frameworks, and providing technical leadership in cloud-native environments.
Job Title: MLOPS Platform Engineer with Gen AI Location: : Charlotte NC (ONSITE) CONTRACT FINAL INTERVIEW IS FACE TO FACE JOB DESCRIPTION : Strong hands-on experience building and operating cloud-native applications…
The ML Engineer / Data Scientist Senior will lead the data team at AlloVoisins, focusing on industrializing and deploying AI models like LLMs and recommendation systems into production. This role combines technical leadership in MLOps and cloud architecture with the management and mentorship of junior data team members.
The Data Scientist / ML Engineer will design, develop, and industrialize AI and machine learning solutions, including LLMs and generative AI, to support business decision-making. The role covers the full project lifecycle from experimentation to production deployment using a stack that includes Python, SQL, Snowflake, and MLOps practices.
CELAD is seeking a Big Data Engineer to work on-site with a banking client in Nantes, focusing on building technical foundations for Data Scientists. The role involves deploying and industrializing data pipelines on GCP while implementing MLOps and CI/CD practices.
The Staff Machine Learning Engineer will design, deploy, and maintain production-grade ML systems to optimize revenue management and pricing strategies for the hospitality industry. The role focuses on MLOps, building scalable data pipelines, and ensuring the reliability of AI-driven features using technologies like Python, AWS, and Apache Airflow.
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