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Data Engineer
Senior data engineer (6-10 years) building and operating production-scale batch/streaming data pipelines on AWS and Databricks. Core stack: Python, PySpark, SQL, Apache Spark, Delta Lake, plus orchestration, CI/CD, Terraform, data quality and pipeline observability, with mentoring and technical leadership.
MLOps Engineer
Based in Bangalore, this MLOps Engineer builds and maintains pipelines for deploying machine learning models to production using Vertex AI and Google Cloud, with Python, CI/CD best practices, and ongoing monitoring of model reliability, scalability, and performance.
PwC - Manager - LLMOps & MLOps
Manager-level role at PwC's Service Delivery Center leading LLMOps and MLOps workstreams for client-facing data science engagements: planning model lifecycles, building ML pipelines and automated workflows, monitoring and retraining models, and coaching teams, using cloud engineering and ML/NLP tooling.
Red Hat OpenShift and container platform administrator
Senior container platform SME providing L3 technical support to global HPE customers: designing, deploying, monitoring, upgrading, securing and troubleshooting OpenShift, Kubernetes, and HPE Ezmeral Container Platform/Data Fabric across enterprise environments, requiring strong Linux, networking, storage and automation skills in a 24x7 support setting.
Architecte Data/IA Senior - Freelance (H/F)
Freelance senior Data/AI architect (TJM €600/day) in Île-de-France, hybrid, 1-year contract from Jan 2027. Writes ~20-25 architecture dossiers a year (microservices, serverless, data mesh) for topics like a generative AI platform, BI framing and a Kestra migration, using AWS/Azure, Kubernetes, Databricks, Spark, Kafka, Python and SQL.
Data Scientist MLOps - Freelance (H/F)
Freelance Data Scientist/MLOps (€550/day) joining a 5-person digital marketing team based at CDG, France. Day to day: build, deploy and monitor ML models (anomaly detection, destination recommendation) end to end on GCP (BigQuery, Vertex AI), using Terraform, Docker and GitHub Actions. Hybrid: 3 days remote per week.
Machine Learning Lead
Lead the machine learning roadmap for a pet-health platform, designing custom models from scratch for sensor, audio, and accelerometer data and driving them to production. Requires 10+ years of ML experience with TensorFlow, PyTorch, Python, and MLOps, plus team leadership; based in Bangalore, work from office.
Tech lead ia f/h (H/F)
Tech Lead AI at Thales' Vélizy campus near Paris, designing and delivering AI services (MLOps, agentic capabilities, model catalogs, MCP registry) for a European sovereign Data & AI platform, while guiding the team's technical practices, quality and delivery.
Data Analyst
Data Analyst at Zipher (Tel Aviv) owns end-to-end analytics for a cloud platform that autonomously orchestrates data and AI workloads — defining product KPIs, building dashboards, and running production-grade data pipelines on enterprise-scale telemetry using SQL, Python, and tools like Databricks/Spark.
Senior Devops Engineer
Senior DevOps engineer in Hyderabad (on-site) who builds and maintains cloud infrastructure automation, CI/CD pipelines, and Kubernetes environments, with responsibilities extending to supporting AI platform operations and model deployment. Core stack: AWS/Azure/GCP, Docker/Kubernetes, Terraform, and Python/Bash scripting.
SAP SuccessFactors Employee Central
Configure and implement SAP SuccessFactors Employee Central for an MNC: translating HR requirements into EC configurations, org structures and workflows, supporting full-lifecycle delivery and integrations, and using AI copilots/GenAI tools to accelerate analysis, testing and documentation. Core skills: SAP SuccessFactors EC, core HR data models, AI-assisted delivery.
Sales Development Rep -NYC
As vCluster’s Sales Development Representative , you aren't just making cold calls; you are the frontline scout for the next generation of cloud infrastructure. In this role, you will be the first point of contact for…
DevOps Engineer: Cloud, On-Prem & HPC | Hybrid (Milano)
DevOps engineer (2–4 years' experience) working on two products — a Kubernetes/AWS IoT platform for critical infrastructure and an EDA/semiconductor stack. Day to day: GitOps cluster management, observability and alerting, on-prem client installations, HPC/GPU cluster admin and MLOps. Hybrid role in Milan with two smart-working days.
DevOps Engineer - Cloud & On-Premise
DevOps engineer working on two products — an IoT platform for critical infrastructure and an EDA/semiconductor stack — managing Kubernetes on AWS with GitOps, observability and data pipelines, plus on-premise client installations and HPC cluster administration. Hybrid role in Milan (2 days remote), 2-4 years' experience.
DevOps Engineer: Kubernetes Cloud, On-Prem & HPC
DevOps engineer at EUROANSA working across three environments: a Kubernetes-on-AWS IoT platform, on-premise installations at client sites, and an HPC/MLOps cluster. Day to day covers infrastructure management, observability, CI/CD/GitOps pipelines and direct client collaboration. Office in Lucca or Milan, hybrid with two remote days.
DevOps Engineer - Cloud & On-Premise
DevOps Engineer at EUROANSA working across cloud-native, client on-premise environments, and HPC/MLOps. Day to day: manage Kubernetes on AWS for an IoT platform, ensure observability and alerting for data pipelines, deliver on-premise installations at client sites, administer an HPC cluster, and contribute to architectural decisions. Hybrid role based in Lucca or Milan.
Senior Site Reliability Engineer
Senior SRE on Prima's Infrastructure team: design, build, and operate reliable, scalable production systems on AWS and Kubernetes, automate operations, lead incident response, and optimize performance, capacity, and security using Python, Pulumi/Terraform, and Datadog. Prima is an online motor insurance provider.
Lead Data Scientist
Lead Data Scientist at Zonneplan in Zwolle who spends 40-60% of time hands-on building forecasting and optimization models in Python to steer renewable-energy trading and battery/solar/charging assets, while also setting up MLOps practices and coaching a team of data scientists. Requires 5 years' experience and Dutch proficiency.