Consultant

About this role

Responsibilities

• Machine Learning & Data Science
• Design, develop, and optimize machine learning models for predictive modeling, classification, and forecasting use cases
• Apply data analysis and data wrangling techniques to prepare high‑quality datasets from diverse data sources
• Perform model evaluation, validation, and performance tuning to ensure accuracy, reliability, and scalability
• Implement dimensionality reduction and feature engineering techniques as required
• Neural Networks, NLP & Computer Vision
• Build and deploy neural network models using TensorFlow and Keras
• Develop solutions leveraging Natural Language Processing (NLP) for text analysis, extraction, and understanding
• Design and implement computer vision solutions using OpenCV for image and video‑based use cases
• MLOps & Model Deployment
• Lead ML model deployment to production environments with proper versioning and model registry management
• Implement and maintain MLOps pipelines for continuous training, testing, deployment, and monitoring of models
• Ensure reproducibility, observability, and lifecycle management of machine learning models
• Cloud & Platf