Job Title: Machine Learning Engineer (GCP & Deep Learning)

Location: Bangalore, Hyderbad,Chennai & Coimbatore

Department: Engineering / Data Science

Employment Type: Full-Time

About the Role

We are seeking an experienced Machine Learning Engineer to design, build, and deploy end-to-end deep learning models on Google Cloud Platform (GCP). In this role, you will work closely with data science and engineering teams to implement high-performance ML pipelines, leverage deep learning frameworks like PyTorch and TensorFlow, and operationalize models at scale using Vertex AI.

Key Responsibilities

- Design, train, and deploy deep learning models using Python, PyTorch, and TensorFlow.
- Build, automate, and maintain end-to-end ML pipelines on GCP using Vertex AI, Cloud Storage, BigQuery, and Dataflow.
- Implement MLOps best practices, including model versioning, feature management, and automated retraining loops.
- Optimize model performance, scalability, and latency for both real-time API endpoints and batch predictions.




- Collaborate with data engineers and product teams to translate complex business requirements into robust machine learning solutions.
- Monitor deployed models for data drift, performance degradation, and operational health.

Required Qualifications

- 3+ years of hands-on experience in Machine Learning and Deep Learning engineering.
- Programming: Advanced proficiency in Python and its core data science stack (NumPy, Pandas, Scikit-Learn).
- Deep Learning Frameworks: Strong expertise in PyTorch and/or TensorFlow (Keras).
- Cloud Platform: Proven experience deploying and orchestrating ML workflows on Google Cloud Platform (GCP), specifically Vertex AI.
- MLOps & Pipeline Architecture: Solid understanding of model tracking, feature stores, CI/CD for ML, and pipeline orchestration (Kubeflow / TFX / Airflow).
- Solid understanding of data structures, algorithms, and software engineering principles

📌 Data Scientist (Bengaluru)
🏢 Omnicom Global Solutions
📍 Bengaluru