Senior Software Engineer (MLOps)
We are looking for a Senior Software Engineer (MLOps) to help us ensure that machine learning models are not only successfully deployed but also maintained and monitored for optimal performance. You will lead all the processes to design, build and manage reproducible, testable, and evolvable ML-powered software.
This role requires a blend of skills in software engineering, machine learning, and operations to ensure the smooth functioning of ML systems in production environments. In this role you will:
- Lead the team to design and implement automation for model training, testing, validation, and deployment
- Collaborate with machine learning engineers to ensure efficient deployment and scaling of ML models
- Implement monitoring and alerting systems to track model performance, system health, and data drift
- Optimize compute resources for cost and performance efficiency
- Manage model versions to ensure traceability and reproducibility
- 6+ years of experience in the design and implement of Large-scale ML Systems or Distributed Systems
- Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy
- Proficiency in programming languages such as Python, Java, or Golang
- Effective communication skills in written and spoken English
- Bachelor or above in Software Engineering, Computer Science, Machine Learning or a related field
- Experience in machine learning frameworks such as TensorFlow, PyTorch, AutoGluon, XGBoost or Scikit-learn
- Experienced in DevOps Tools such as Docker, Jenkins, Ansible, Grafana, Prometheus, Elastic, or Kubernetes
- Familiar with CI/CD deployment practices
- Experience with SQL and database systems such as PostgreSQL
- Experience with building ETL pipeline in data warehouse such as Snowflake
- Experience with inference optimization