Senior Machine Learning Engineer – MLOps & LLM

About the role

Doktar is building AI‑powered products for agriculture, sustainability and food systems. We are looking for a hands‑on Senior Machine Learning Engineer to strengthen our ML platform, MLOps capabilities and scale production LLM applications.

Key responsibilities

• Lead the evolution and standardisation of Doktar’s production ML and AI architecture on Azure.
• Strengthen CI/CD pipelines, automated testing, observability and infrastructure‑as‑code for reliable deployments.
• Establish standards for model/data versioning, experiment tracking, environment management and reproducibility.
• Design reliable deployment, rollback, recovery and incident‑response processes for LLM applications.
• Provide technical guidance on MLOps practices and mentor engineers.
• Collaborate with Data Science, Product and Software teams to turn algorithms into maintainable production services.

Required profile

• At least five years of experience with production ML systems.
• Advanced Python skills and experience building production APIs, services and batch workflows.
• Strong cloud architecture experience, preferably Microsoft Azure.
• Hands‑on experience with CI/CD, containerisation, automated testing, IaC and observability.
• Proven ability to lead technical decisions and mentor engineers.

Required skills

• Python
• Microsoft Azure (Azure Machine Learning, Application Insights)
• CI/CD tools
• Containerisation (Docker, Kubernetes)
• Infrastructure‑as‑code (Terraform, Bicep)
• MLflow
• Production MLOps practices for LLMs (RAG, evaluation, tracing, security, latency, cost management)

What we offer

• Hybrid work model with office and remote flexibility.
• Private health insurance covering family members under 22.
• Daily meal and transportation allowance.
• Attractive yearly performance bonuses.
• Employee Stock Option Scheme.