Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
The ML Engineer role encompasses designing building and maintaining machine learning systems developing training and deploying machine learning models and automating model deployment and management. As part of a larger team develops and integrates ML analytical components in business solutions and analytical models.
Skill requirements
Must Have:
- Relevant work experience in ML projects
- Relevant work experience in technologies and frameworks used in ML examples are Apache Airflow sklearn MLFlow TensorFlow
- Knowledge of MLOps architecture and practices
- Knowledge of data manipulation and transformation e.g. SQL
- Experience working in cloud environment data cloud platforms (e.g. GCP)
- Programming in Python
- Familiar with software engineering practices like versioning testing documentation code review
- Deployment and provisioning automation tools e.g. Docker Kubernetes Openshift CI/CD
Nice to Have:
- Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink)
- Experience with monitoring and observability (ELK stack)
- Affinity with Advanced Analytics Data Science NLP
- Handson experience building complex data pipelines e.g. ETL
- System design and architecture
- Programming in a statically typed language e.g. Scala Java
- Good understanding of databases including RDBMS nonSQL and timeseries databases
- Experience with working in an agile/scrum way
- Being a committer to Open Source projects is a strong plus
Employment Type
Full Time
