
Innovative AI Solutions Developer
4 days ago
We are seeking a seasoned Machine Learning Engineer to drive innovation in scalable, production-grade ML solutions.
As a key member of our team, you will design and implement end-to-end machine learning pipelines, leveraging your expertise in Python and SQL. You will develop and deploy ML models, orchestrate workflows with Google Cloud Composer (Airflow), containerize applications with Docker, and deploy on Google Kubernetes Engine (GKE).
To succeed in this role, you must have hands-on experience with Google Cloud Platform (BigQuery, Composer, GKE) and a solid understanding of MLOps practices and tools. Your proficiency in API development (Flask / FastAPI) and familiarity with Git and version control best practices are also essential.
Key Responsibilities- Design and implement end-to-end 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.
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