Data Scientist

Job Description

About the Role: Were looking for an innovative and execution-focused Machine Learning Engineer with deep expertise in AI/ML model development, deployment, and scaling. This role goes beyond research — we’re looking for someone eager to take models from notebooks to real-world systems and own the full ML lifecycle. Key Responsibilities: Design, develop, and deploy machine learning models for large-scale applications. Apply GenAI, NLP, and deep learning techniques to real business problems. Own the entire model pipeline — from ideation and training to testing and deployment. Work closely with cross-functional teams to drive AI-powered product features. Ensure scalability, reliability, and robustness in model performance. Core Requirements: Strong foundation in AI/ML research and model deployment. Hands-on experience with GenAI, NLP, deep learning , and large-scale ML systems. Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, etc.). Experience with ML frameworks: TensorFlow / PyTorch . Working knowledge of ML algorithms – Regression, Classification, Clustering, Random Forest, Boosting, etc. Solid grasp of Probability, Statistics, and Mathematics . Strong command of SQL for data extraction. Understanding of production ML architecture and deployment pipelines . Bonus Skills: Experience deploying models to production environments . Familiarity with Linux commands and scripting. Exposure to cloud platforms (e.g., GCP, AWS, Azure). Understanding of A/B Testing frameworks and experimentation.