Hiring : Machine Learning Engineer.

Location : Gurgaon/Noida/Bangalore/Pune/Hyderabad.

Experience : 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.