Senior Machine Learning Engineer MLOps & LLM

Senior Machine Learning Engineer | MLOps & LLM

Location: Istanbul (hybrid)

Reporting to: Head of Data Science

The Opportunity

Join Doktar, where we build AI-powered products for agriculture, sustainability and food systems. Our portfolio spans time-series modelling, computer vision, optimization and other machine-learning methods, as well as generative AI applications for irrigation, fertilization, crop intelligence and other agricultural use cases.

We are looking for a hands-on Senior Machine Learning Engineer to strengthen our ML platform and MLOps capabilities while helping scale our production LLM applications. You will work closely with Data Science, Product and Software teams to turn algorithms into reliable products. This is a senior individual-contributor role combining technical leadership, hands-on implementation and mentoring.

What You’ll Do

• Lead the evolution and standardization of Doktar’s production ML and AI architecture.
• Strengthen Azure-based ML and AI services, CI/CD pipelines, automated testing and observability.
• Establish standards for model and data versioning, experiment tracking, environment management and reproducibility.
• Design reliable deployment, rollback, recovery and incident-response processes.
• Introduce infrastructure-as-code and reusable deployment patterns where they improve reliability and delivery speed.
• Establish production standards for LLM applications, including RAG, evaluation, tracing, security, latency and cost management.
• Provide technical guidance to engineers on MLOps practices and the development of production LLM applications.
• Work with data scientists and ML engineers to translate time-series, computer-vision, optimization and sensor-based algorithms into tested, maintainable and observable production services.
• Partner with Product and Software teams on product integration, scalability and release readiness.
• Strengthen documentation, knowledge transfer and secondary ownership across the team.

What We’re Looking For

• At least five years of relevant experience, including hands-on responsibility for production ML systems.
• Advanced Python skills and experience building production APIs, services and batch workflows.
• Strong cloud architecture experience, preferably with Microsoft Azure.
• Hands-on experience with CI/CD, containerization, automated testing, infrastructure-as-code, observability and rollback.
• Experience managing the ML lifecycle, including experiments, model and data versions, artifacts, environments and production monitoring.
• Experience converting research or prototype code into maintainable production systems while preserving reproducibility, evaluation logic and technical traceability.
• Hands-on experience deploying production LLM applications, including RAG, evaluation, tracing, security, latency or cost management.
• Broad ML engineering experience and the ability to adapt production approaches across different models, data types and workloads.
• Strong software-engineering fundamentals and sound judgment in balancing reliability, delivery speed and complexity.
• Ability to lead technical decisions, mentor engineers and establish shared engineering practices.

Nice to Have

• Hands-on experience with Azure Machine Learning, Application Insights, MLflow, Terraform, Bicep or comparable tools.
• Experience productionizing different ML workloads, particularly time-series models, computer-vision systems, optimization algorithms, sensor data and LLM applications. Breadth across several areas is particularly valued.
• Experience supporting real-time and batch inference, performance optimization and cloud cost management.
• Experience building pragmatic MLOps capabilities in a scale-up, with engineering investment aligned with product maturity and adoption.

What We Offer

• A rewarding role within a young and dynamic interdisciplinary team
• Opportunities for professional growth and career advancement
• A blend of in-office and remote working, ensuring work-life balance
• Private health insurance that also covers family members below 22 years
• Daily meal and transportation allowance
• Attractive yearly bonuses based on performance
• Employee Stock Option Scheme