Title: Data Scientist - Operational Research/ Optimization

Mandatory Skills:

Data Science, ML, DL, Operational Research, RapidMiner, Python, Tensorflow, Pytorch, Django, SQL,

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