Senior Enterprise AI Engineer

Job Overview :

As a seasoned Data Scientist, you will be responsible for developing and deploying advanced AI / ML models that drive business growth and innovation. Your expertise in building scalable data workflows and model deployment will enable our team to deliver high-quality products that meet the evolving needs of our customers.

• Key Requirements :
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
• 3+ years experience building and deploying ML models in enterprise environments.
• Proficiency in PySpark, Python, and ML frameworks.
• Hands-on experience with Databricks, Azure ML, AWS SageMaker, or Google Vertex AI.
• Strong coding skills and experience with scalable data workflows and model deployment.
• Familiarity with GenAI, LLMs, and NLP techniques.
• Ability to work independently and manage priorities in fast-paced environment.
• Preferred Skills :
• Experience with time-series demand forecasting, margin-aware modeling, text summarization, and stock-based recommendations.
• Exposure to multi-modal data and personalization strategies across digital ecosystems.

Become a key member of our centralized Data Science team and contribute to the development of intelligent, production-ready solutions for personalization, forecasting, and automation.