Machine Learning Engineer

Experience in model deployment & monitoring Additionally, it would be beneficial if you have:

Knowledge of TensorFlow / PyTorch

Understanding of Deep Learning concepts

Experience in feature engineering & model evaluation

Exposure to Databricks Join our team and contribute to building cutting-edge ML solutions while collaborating with talented professionals across different domains. As a Machine Learning Engineer at our company, you will play a crucial role in developing and deploying scalable ML solutions. Your responsibilities will span the entire ML lifecycle, from model development to deployment, monitoring, and optimization. Key Responsibilities:

Develop, deploy, and maintain machine learning models in production

Build and manage ML pipelines for training, batch, and real-time inference

Convert Data Science models into production-ready solutions

Implement feature engineering pipelines and feature stores

Work on model deployment using Docker, APIs, or cloud services

Monitor model performance including data drift, accuracy, and degradation

Implement CI/CD pipelines for ML workflows

Collaborate effectively with Data Engineers, Data Scientists, and DevOps teams