ML OPS - Lead

ML OPS - Lead Job Description

Job Summary :We are seeking an experiencedAI/ML Engineerwith strong expertise inNatural Language Processing (NLP), Large Language Models (LLMs), Databricks, and MLflowto develop and enhance Communication Surveillance solutions for the Banking and Capital Markets domain.The candidate will be responsible for building and deploying AI/ML models that detect potential regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across electronic communications including emails, chats, collaboration platforms, and voice transcripts.The ideal candidate should have experience developing enterprise-grade NLP solutions, model training pipelines, and MLOps frameworks in highly regulated environments.

Key Skills :

• Natural Language Processing (NLP)
• Large Language Models (LLMs) and Generative AI
• Model Training, Fine-Tuning, and Evaluation
• Python, PyTorch, TensorFlow
• Databricks (Lakehouse, Delta Lake, Workflows, Model Serving)
• MLflow (Experiment Tracking, Model Registry, Model Deployment & Monitoring)

Mandatory Competencies

• Data & AI - MLOPS - CI/CD (for ML pipelines)
• Data & AI - MLOPS - Machine Learning (ML)
• Data & AI - MLOPS - Model Lifecycle Management
• Data & AI - MLOPS - Monitoring & Observation
• Data & AI - MLOPS - Python
• Data & AI - MLOPS - Model Registry & Experiment Tracking
• Data & AI - MLOPS - Model Deployment & Serving
• Data & AI - MLOPS - Data Pipeline & Feature Management