MLOps Engineer

About Doceree

Doceree is a growing AdTech start-up delivering innovative solutions. As the first global network of

physician-only platforms for programmatic messaging, Doceree is transforming the digital communication landscape in the global healthcare industry. Doceree provides the most comprehensive solution to Healthcare and Lifesciences advertisers to reach the target audience in the most effective and efficient way through programmatic digital advertising.

Website

http://www.doceree.com/

Company Size

Mid-Sized

Working Days

5 days/week

Role & Responsibilities

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.