Advanced Machine Learning Solutions Architect
3 days ago
Machine Learning Engineer Job Description
Job SummaryWe are seeking a highly skilled Machine Learning Engineer to design and implement end-to-end machine learning pipelines. The ideal candidate will have strong skills in Python and SQL, as well as hands-on experience with Google Cloud Platform (BigQuery, Composer, GKE).
Key Responsibilities:- Design and implement machine learning pipelines.
- Develop and deploy ML models in Python; manage data workflows using SQL.
- Orchestrate workflows with Google Cloud Composer (Airflow).
- Containerize applications with Docker and deploy on Google Kubernetes Engine (GKE).
- Set up & maintain CI/CD pipelines for automated training and deployment.
- Develop and maintain RESTful APIs (Flask/FastAPI) to serve ML models.
- Strong skills in Python and SQL.
- Hands-on experience with Google Cloud Platform (BigQuery, Composer, GKE).
- Solid understanding of MLOps practices and tools.
- Experience with Docker & Kubernetes.
- Knowledge of CI/CD tools (GitHub Actions, Jenkins, Cloud Build).
- Proficiency in API development (Flask / FastAPI).
- Familiarity with Git and version control best practices.
- 2-6 years of experience as a Machine Learning Engineer.
This is an exciting opportunity to work with a talented team and contribute to the development of cutting-edge machine learning solutions. If you're passionate about building scalable and production-grade ML systems, this role is perfect for you.
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