Senior MLOps Engineer deploying ML - powered applications at Allica Bank. Building, prototyping, and ensuring the reliability of AI tools for SMEs.
About the role
- Senior ML Platform/Ops Engineer building AI-powered ML pipelines for a dynamic Ed-Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Responsibilities
- Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton
- Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling)
- Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.)
- Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent)
- Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams
- Ensure ML services are modular, testable, and monitored from day one
- Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving)
Requirements
- Proven experience designing and deploying ML systems in production (5+ years in relevant roles)
- Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.)
- Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows
- Understanding of ML model lifecycles: training, validation, deployment, and monitoring
- Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s)
- Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven.
- Exposure to LLM serving, vector databases, or GenAI-powered product flows
Benefits
- A generous monthly allowance for lessons on Preply.com
- Learning & Development budget and time off for your self-development
- A competitive financial package with equity, leave allowance and health insurance
- Access to free mental health support platforms
- The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)
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