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Lead a new AI/ML engineering pod at a SaaS startup, building computer vision and document-intelligence models that power manufacturing quoting, from R&D to production deployment.
Wir erweitern bei LOBECO unser Kernteam für Customized MARTECH AI Solution Development - von Rapid Prototyping , über MVP bis hin zu enterprise -grade KI-Softwarelösungen, die in die IT unserer Großkunden integriert…
The Data Engineer will build, maintain, and optimize scalable data pipelines and analytical platforms using Python, Databricks, and PySpark within Azure cloud environments. The role involves collaborating with cross-functional teams to deliver data products and implementing MLOps and CI/CD practices.
Designs and builds scalable data platforms and AI solutions for enterprise clients, focusing on cloud data architectures, lakehouse systems, and real-time pipelines using tools like Azure, Databricks, and Snowflake.
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
The AI DevOps Engineer will design, build, and maintain the cloud and hybrid infrastructure required to support enterprise AI agents and model workloads. This role focuses on implementing MLOps, CI/CD pipelines, and secure integrations across Atkore's manufacturing and business platforms.
Designs and delivers enterprise-grade AI/ML solutions for Fortune 500 clients, leading end-to-end ML pipelines and client engagements on Databricks and cloud platforms.
The Lead Data Engineer will design and manage scalable data pipelines and infrastructure while mentoring a team of engineers. The role requires expertise in big data technologies, cloud platforms, and modern data engineering practices to deliver high-quality data solutions.
The Senior DevOps Engineer will support AI SaaS and PaaS solutions by managing cloud infrastructure, CI/CD pipelines, and Kubernetes clusters. The role requires extensive experience with AWS/GCP, Terraform, and Linux, alongside strong software engineering and troubleshooting skills.
Lab49 is seeking a DevOps Engineer to support a data science team in transitioning machine learning models from development to production-ready API services. The role involves designing cloud infrastructure, implementing CI/CD pipelines, and mentoring teams on cloud best practices within the financial services sector.
Vecten is hiring a Senior Data Engineer to rebuild and manage a data platform for a US sports insurance client, focusing on Azure, Snowflake, and modern orchestration. The role involves migrating legacy ETL pipelines, productionizing ML scoring, and applying DevOps practices in an AI-native engineering environment.
Lead the development and scaling of Overstory’s Wildfire Fuel Detection Model using AI, geospatial data, and deep learning to predict vegetation risks and reduce wildfire threats for electric utilities.
ВкусВилл — бренд натуральных продуктов для здорового питания с чистым и честным составом. Мы делаем полезное вкусным, а ещё создаём атмосферу взаимовыручки и человечности как для покупателей, так и для сотрудников.…
What we’re looking for Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed…
The Data Analytics & ML Ops Engineer designs and manages analytics and ML pipelines, integrates models into data platforms, and ensures operational stability through performance monitoring and evaluation.
Workload — tbd Duration — 10 months Location — Poland Banking and Finance Job Details Technical Requirements: 10+ years of professional experience across Data Engineering, Data Architecture, Analytics, Artificial…
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
As an AI Engineer/Data Scientist, you will develop and integrate machine learning and generative AI solutions for clients across various industries. You will work on the full data-to-value lifecycle, including prototyping, MLOps, and deploying scalable AI applications using Python and cloud technologies.
The Senior Manager Data Science & AI Engineering leads complex AI transformation projects for global clients, bridging the gap between business strategy and technical implementation. The role involves managing interdisciplinary teams, developing scalable AI solutions using LLMs and MLOps, and driving business growth through strategic client relationships.
Builds and deploys generative AI solutions using large language models, focusing on prompt engineering, model optimization, and seamless integration with real-world systems.
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