Data Scientist + Operational Research /Optimization

Job Description

Mandatory Skills Data Science, ML, DL, Operational Research, RapidMiner, Python, Tensorflow, Pytorch, Django, SQL, Linear programming (LP), mixed integer linear programming MILP), optimization Preferred Skills NLP, Gen AI, LLM, RAG, Lanchain, MLOps Job Description / Roles & Responsibilities (in Detail) Mandatory • Strong understanding of Data Science, machine learning and deep learning principles and algorithms. • Proficiency in programming languages such as Python, TensorFlow, and PyTorch. • Must have RapidMiner hands on working experience . • Experienced with Implemeting Optimization solutions via Operational Research methods . • Must have Forecasting experince / knowledge . • Ability to work with large datasets and knowledge of data preprocessing techniques. • Strong Backend Python developer, experience in applying machine learning techniques using TensorFlow, Pytorch • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Expert in applying ML techniques such as: forecasting, classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques • Optimize model performance and scalability for real-time inference and deployment. • Experiment with different hyperparameters and model configurations to improve AI model quality. • Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards • Proven ability to apply, debug, and develop machine learning models • Strong problem-solving and critical thinking skills for complex AI problems. • Excellent communication and teamwork abilities to collaborate with cross-functional teams. Good to have: • Finance Project Background will be good to have. • SQL experience/ knowledge. • NLP, LLM, Lang chain and Gen AI • Banking exposure