Description

Key Skills: Numpy, Pandas, Generative AI, GCP, Tensorflow, Deep Learning, Keras, Pyspark, Python, Computer Vision

Roles and Responsibilities:

• Design and develop machine learning and deep learning models for enterprise use cases across recommendation, prediction, and text analytics workflows.
• Build and optimize ML solutions on Google Cloud Platform using Vertex AI, BigQuery, and Cloud Composer.
• Develop Python-based ML code and reusable libraries for scalable model training and inference.
• Work with large datasets using PySpark, Pandas, and NumPy to prepare features and support model development.
• Operationalize models in production environments with a focus on reliability, scalability, and cloud-native execution.

Skills Required:

• 7+ years of experience in machine learning, deep learning, or applied AI engineering.
• Strong hands-on experience in Python, TensorFlow, Keras, NumPy, Pandas, and scikit-learn for ML and deep learning development.
• Experience building and deploying ML solutions on Google Cloud Platform, including Vertex AI and BigQuery.
• Ability to take models from prototype to production with scalable architecture and cloud integration.
• Experience working with ML workflows, model lifecycle management, and production inference in enterprise environments.

Good to Have:

• PySpark, Computer Vision, R, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Text Mining, Text Analytics, Machine Logs Processing

Education: Bachelor's or Master's degree in a relevant field.

Key Skills

Education

Any Graduate