Ai/Ml Engineer
Were hiring Senior AI/ML Engineer MLOps & Gen
AI Ops Join a global technology leader in a fully remote role based in Portugal. This is a direct hire opportunity to lead
- edge initiatives in MLOps, Gen
AI Ops, Azure Cloud, and Snowflake supporting
- scale AI innovation. Location Remote (Portugal-based) Contract Permanent direct hire with our client Youll be responsible for designing, deploying, and scaling
- grade AI/ML ecosystems. From operationalizing Gen
AI models to building robust pipelines and
- native architectures, this role blends deep technical expertise with strategic impact. Key Responsibilities - Develop and maintain ML pipelines for training, validation, deployment, and monitoring of models.
- Support scalable ML solutions across use cases like recommendations, forecasting, and automation.
- Work with tools like Airflow, Azure ML, and Fast
API to deliver
- ready systems.
- Automate model deployment workflows using CI/CD tools (e. G. Git
Hub Actions, Azure Dev
Ops).
- Contribute to the reliability, observability, and performance of the ML platform.
- Collaborate with data scientists to productionise research code and models into scalable services.
- Help implement monitoring, alerting, and model drift detection using tools like New
Relic, Azure Monitor, and custom logging frameworks.
- Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. What Were Looking For - Proven experience in ML Engineering, Dev
Ops, or Data Engineering with exposure to ML lifecycle.
- Hands-on experience building or maintaining ML workflows or pipelines.
- Strong Python skills and experience with tools like MLflow, Scikit-learn, or Py
Torch.
- Familiarity with cloud platforms (especially Azure, AWS).
- Good understanding of containerisation (Docker) and orchestration (e. G. Kubernetes).
- Exposure to CI/CD tools (Git
Hub Actions, Azure Dev
Ops) and
-
- code (Terraform).
- Collaborative team player with excellent communication skills. Nice to Have - Knowledge of data platforms (e. G. Snowflake, Azure Data Lake).
- Experience deploying models as APIs (Fast
API, Azure Functions).
- Understanding of monitoring, model performance tracking, and observability best practices.
- Familiarity with orchestration tools like Airflow or Azure Data Factory. Ready to lead AI innovation from Portugal? Apply now and shape the future of enterprise AI. #AIJobs #MLJobs #Remote
Portugal #MLOps #Gen
AI #Azure
ML #Snowflake #Hiring
- Informações detalhadas sobre a oferta de emprego
Empresa: Adecco Recruitment Localização: Viseu
Viseu, Viseu District, PortugalPublicado: 13. 10. 2025
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