AI / Machine Learning Lead

Role Summary

We are seeking an AI / Machine Learning Lead to design, develop, deploy, and scale AI/ML solutions that solve real‑world business problems. The role focuses on building production‑grade ML models and AI services, integrating them with enterprise systems, and enabling automation, intelligence, and decisioning across platforms.

This role is hands‑on and execution‑focused, working closely with product owners, data engineers, architects, and business stakeholders.

Key Responsibilities

• Design, build, and deploy AI/ML models (supervised, unsupervised, NLP, GenAI where applicable)
• Develop end‑to‑end ML pipelines including data ingestion, feature engineering, model training, evaluation, and deployment
• Build and expose models as APIs / microservices for integration with enterprise applications
• Apply AI to use cases such as:
  • Intelligent automation
  • Document processing & extraction
  • Intent classification & routing
  • Prediction, scoring, and anomaly detection
• Collaborate with Data Engineering teams on data pipelines and feature stores
• Implement model monitoring, performance tracking, and retraining strategies
• Ensure solutions meet security, compliance, and governance standards
• Optimize models for accuracy, latency, and scalability
• Contribute to technical design, code reviews, and best practices

Required Skills & Qualifications

Core Technical Skills

• Strong programming skills in Python (required)
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit‑learn
• Hands‑on with NLP / LLMs (tokenization, embeddings, transformers, prompt engineering)
• Experience building REST APIs (FastAPI, Flask, Spring Boot integrations)