Hiring : Machine Learning Engineer.
Location : : 2-6 Years.
Notice Period Immediate to 30 Days.
We are looking for a skilled and proactive Machine Learning Engineer to join our team and build scalable, production-grade ML solutions. If you are passionate about Python, GCP, and ML Ops practices, and love working on cutting-edge cloud-native systems, this role is for you!.
What Youll Do :
- 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.
- Collaborate with data scientists, engineers, and DevOps to ensure smooth integration & scalability.
Mandatory Skills : Python + GCP + MLOps.
What Were Looking For :
2-6 years of experience as a Machine Learning Engineer.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.(ref : hirist.tech)