
ML Engineering Specialist
15 hours ago
We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in developing and deploying machine learning models, as well as experience with cloud platforms and DevOps tools.
- Develop end-to-end pipelines for the ML lifecycle, from data ingestion to model evaluation.
- Collaborate with AI scientists to accelerate productionization of ML algorithms.
- Setup CI/CD/CT pipelines for ML algorithms.
- Deploy models as a service both to cloud and on-prem edge.
To be successful in this role, you will need:
- MS in Computer Science or equivalent field.
- Experience with Cloud Platforms, especially GCP, and related skills: Docker, Kubernetes, edge computing.
- Familiarity with task orchestration tools, such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc.
- Fluency in at least one general-purpose programming language, Python preferred.
- Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools.
- Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc.
- 5+ years of experience, including academic experience, in any of the above.
- 3+ years of managing a DevOps/MLOps team.
This role offers a competitive salary and benefits package, as well as opportunities for professional growth and development.
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