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 cutting‑edge initiatives in MLOps, Gen
AI Ops, Azure Cloud, and Snowflake supporting enterprise‑scale AI innovation. Location: Remote (Portugal‑based). Contract: Permanent direct hire with our client. Youll be responsible for designing, deploying, and scaling production‑grade AI / ML ecosystems. From operationalizing Gen
AI models to building robust pipelines and cloud‑native architectures, this role blends deep technical expertise with strategic impact.

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 production‑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.

Qualifications

• 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 infrastructure‑as‑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.

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