Staff Applied Scientist - I

Overview

Staff Applied Scientist - I is a Data Science role focused on classical machine learning, large-scale recommendation systems, and agentic/autonomous AI systems for personalization.

What you'll do

• Design, build, and deploy large-scale recommendation systems using advanced ML and deep learning.
• Own the end-to-end ML lifecycle including data preparation, training, evaluation, and deployment pipelines.
• Run rapid experimentation workflows to validate hypotheses and measure business impact.
• Monitor model performance and identify drifts, failure modes, and improvement opportunities.
• Build agentic AI systems to automate tasks like observing model performance, triggering experiments, and tuning hyperparameters.
• Use LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic and preference modeling.

What you'll need

• 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
• Experience deploying ML workflows/models in production systems.
• Experience building end-to-end ML solutions from prototype to production.
• Proficiency in Python and statistical tools (e.g., R, NumPy, SciPy, PyTorch/TensorFlow).
• Expertise with algorithms in areas including NLP, Reinforcement Learning, Time Series, and Deep Learning on real-world datasets.
• Big data and cloud experience (e.g., Spark and cloud platforms such as Azure/AWS/GCP/Vertex AI).

Details

• Location: Bangalore.