# Senior MLOps Engineer

> Satori Analytics · Athens, Greece (Hybrid) · Full-time · Posted 2026-04-28

**Workplace:** hybrid

**Department:** AI Engineering

## Description

**Are you passionate about AI?** 🤖

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!

We’re looking for a Senior MLOps Engineer to help build the infrastructure behind production AI: the pipelines, platforms, deployment patterns, and observability that allow models to move from experimentation to real business value.

**What Your Day Might Look Like:**

-   **Make AI production-ready:** Design and maintain the infrastructure that takes ML models from experimentation to reliable, scalable deployment.
-   **Build automated ML pipelines:** Create repeatable workflows for training, evaluation, deployment, and retraining — with versioning and reproducibility built in.
-   **Deploy and serve models:** Package models as production services across cloud, on-premise, or hybrid environments, with performance and reliability in mind.
-   **Monitor what matters:** Track model performance, data drift, system health, and production signals to support better retraining and troubleshooting decisions.
-   **Enable AI teams:** Work closely with Data Scientists, AI Engineers, and Software Engineers to improve how models are tested, deployed, and maintained.
-   **Set the standard:** Contribute to best practices around CI/CD, model registry, observability, security, and governance.
-   **Support GenAI at scale:** Help deploy and optimize LLM-based systems, including inference services, GPU usage, and RAG infrastructure where needed.
-   **Keep systems secure and reliable:** Ensure ML deployments follow strong practices around access control, data governance, and operational resilience.

## Requirements

**Your Superpowers🚀:**

-   BSc or MSc in Computer Science, Software Engineering, or a related STEM field.
-   5+ years of experience in MLOps, DevOps, platform engineering, or ML engineering, with exposure to ML systems in production.
-   Strong Python skills and good software engineering fundamentals.
-   Hands-on experience with ML lifecycle tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or similar.
-   Experience deploying models using tools like BentoML, TorchServe, Triton Inference Server, or equivalent serving frameworks.
-   Strong experience with Docker, Kubernetes, CI/CD, and production-grade deployment workflows.
-   Comfortable working across cloud environments — AWS, Azure, GCP, or hybrid setups.
-   Experience with monitoring and observability tools such as Prometheus, Grafana, or similar.
-   Understanding of model performance, drift, retraining, reproducibility, and production reliability.
-   Strong collaboration skills — able to work across Data Science, Engineering, and client-facing teams.

**Bonus Points for:**

-   Experience with Terraform, Pulumi, or infrastructure-as-code practices.
-   Experience with feature stores such as Feast or Tecton.
-   Familiarity with data and model versioning tools such as DVC or Delta Lake.
-   Experience with Kafka or event-driven ML workflows.
-   Hands-on experience serving LLMs in production using vLLM, TGI, Triton, or similar.
-   Familiarity with model optimization techniques such as quantization or GPU memory tuning.
-   Experience operating RAG infrastructure, vector databases, and embedding pipelines.
-   Exposure to LLM evaluation and observability tools such as LangSmith, RAGAS, or custom evaluation frameworks.

## Benefits

**Perks on Perks:**

-   Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
-   Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
-   Private insurance, top-tier tech gear, and the chance to work with a stellar crew.

Ready to create some data magic with us? Hit that apply button and let’s get started.

## Apply

[Apply at Satori Analytics](https://apply.workable.com/satori-analytics-1/j/64007C7BDF/apply)

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