Principal Data Scientist

Indus Towers is seeking an experienced Principal Data Scientist to lead the development and deployment of advanced AI and machine learning solutions. The role focuses on solving complex business problems using predictive analytics, machine learning, deep learning, and scalable AI systems. The ideal candidate will possess strong hands-on expertise in model development, deployment, MLOps, and technical leadership.

Responsibilities:

• Lead end-to-end AI/ML solution development from problem definition to deployment and monitoring.
• Design, build, and optimize machine learning and deep learning models for business use cases.
• Develop scalable data pipelines for feature engineering, model training, evaluation, and inference.
• Collaborate with engineering, product, and business teams to deliver production-grade AI solutions.
• Drive MLOps best practices, including CI/CD, monitoring, retraining, and governance.
• Mentor data scientists and provide technical leadership across projects.
• Present technical recommendations and solution architecture to senior stakeholders.

Requirements:

• Bachelor's, master's, or PhD in computer science, AI, data science, statistics, mathematics, or a related field.
• 8+ years of experience in data science, machine learning, or artificial intelligence.
• Strong expertise in Python and SQL.
• Hands-on experience with PyTorch, TensorFlow, Scikit-learn, MLflow, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
• Strong understanding of machine learning algorithms, deep learning, feature engineering, model deployment, and MLOps.
• Proven ability to lead complex technical initiatives and mentor teams.

Preferred Qualifications:

• Experience with GenAI/LLMs, NLP, forecasting, recommendation systems, or computer vision.
• Experience building enterprise-scale AI platforms and production ML systems.
• Telecom domain experience is an advantage.