Battery Smart - Machine Learning Engineer - Python/Google Cloud Platform
About the role
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)
About Battery Smart
Battery Smart is building India’s largest network of battery swapping stations providing Li-ion batteries on a pay-per-use basis for the drivers of three-wheeled electric rickshaws through our asset-light network of partner swap stations.
Battery Smart - Machine Learning Engineer - Python/Google Cloud Platform
About the role
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)
About Battery Smart
Battery Smart is building India’s largest network of battery swapping stations providing Li-ion batteries on a pay-per-use basis for the drivers of three-wheeled electric rickshaws through our asset-light network of partner swap stations.