Role : Machine Learning Engineer

Experience : 610 Years

Location : Bangalore, Noida, Pune (Onsite)

Type : Full-time

We are seeking a highly skilled and collaborative Machine Learning Engineer with deep expertise in Google Cloud Platform (GCP) and Vertex AI to join our growing ML Engineering team. You will play a critical role in designing, building, and deploying production-grade ML systems and pipelines that power key products and solutions.

Key Responsibilities :

- Design and develop scalable ML pipelines using Vertex AI Pipelines, Kubeflow, and Cloud Functions

- Build, train, tune, and deploy models using Vertex AI (AutoML and custom training jobs)

- Collaborate with Data Scientists to productionize research models using GCP tools like BigQuery, Dataflow, and Cloud Storage

- Ensure end-to-end ML lifecycle management : training, validation, deployment, versioning, and monitoring

- Apply MLOps best practices for CI/CD in ML (model registry, pipeline automation, reproducibility)

- Optimize model performance and cost across cloud services

- Work closely with cross-functional teams (Data Engineers, Product Managers, and DevOps) to deliver high-impact ML solutions

Required Skills :

- 610 years of experience in building and deploying machine learning solutions

- Strong hands-on experience with Google Cloud Platform (GCP) services, especially : Vertex AI (AutoML, Workbench, Pipelines, Model Registry), Cloud Functions, Cloud Storage, Dataflow

- Solid programming skills in Python (with ML libraries like scikit-learn, TensorFlow, or PyTorch)

- Experience with CI/CD tools for ML (e.g., Cloud Build, GitHub Actions, MLflow)

- Good understanding of ML pipeline orchestration, monitoring, and retraining strategies

- Exposure to containerization (Docker) and orchestration (Kubernetes)

Preferred Skills :

- Experience with MLOps frameworks (e.g., TFX, Kubeflow)

- Experience with data versioning tools like DVC

- Exposure to multi-cloud environments or hybrid cloud setups

- Previous experience in large-scale enterprise ML systems