MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI) jobs

Principal Solutions Architect Middle East

Nebius · Posted Jul 9, 2026

Open

Remote, United Arab Emirates
Remote
Full-time · Principal
Competitive compensation
10+ years

Principal Solutions Architect Middle East

Nebius · Posted Jul 9, 2026

Open

Remote, United Arab Emirates
Remote
Full-time · Principal
Competitive compensation
10+ years

Manager Platform Engineer

LinkedIn Job Wrapping · Posted Nov 10, 2026

Open

Paris, Île-de-France, France
Full-time · Manager
€75K–€85K per year

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Lead the design, deployment, and operation of cloud infrastructure and data platforms for AI applications, ensuring scalability, security, and cost efficiency.

Compensation

75 000€ à 85 000€ brut annuel (fixe) + jusqu’à 8 000€ de variable selon expérience et séniorité

Responsibilities

Deploy cloud infrastructure using IaC and lead cloud migrations
Build and operate data platforms including warehouses and lakehouses
Create CI/CD pipelines and MLOps/LLMOps tooling
Develop harnesses for agents: runtime, evaluation frameworks, observability
Serve models while managing cost and latency

Requirements

Nice to have: Databricks
Nice to have: BigQuery
Nice to have: Snowflake
Nice to have: MLOps
Nice to have: LLMOps

Skills

Google Cloud Azure AWS Infrastructure as Code CI/CD pipelines Kubernetes Security (IAM, network rules, secrets)

Lead Product Management Engineering

McKesson · Posted Nov 6, 2026

Open

Cork
€83K–€138K per year
10+ years

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Lead Technical Product Manager – Level 5 leading strategy, roadmap, and governance of McKesson’s unified AI platform built on Azure Machine Learning and Azure AI Foundry.

Compensation

€82,500 - €137,500

Responsibilities

Lead the product strategy, roadmap, and lifecycle management for a unified AI platform converging MLOps, Generative AI, and Agentic AI capabilities.
Translate emerging AI technologies, model advancements, and business demand into prioritized platform investments and delivery plans.
Drive developer experience as a product, creating self-service experiences, golden paths, reusable templates, SDKs, APIs, and onboarding journeys.
Define platform success metrics including adoption, platform reliability, time-to-first-model, developer productivity, and business outcomes.
Partner with data science, engineering, security, architecture, compliance, and business leaders to align platform capabilities with enterprise priorities.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent experience.

Skills

Product Management Platform Product Management

MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI) jobs

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