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: Robust 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 (India)
🏢 Omnicom Global Solutions
📍 India