ML OPS - Lead

Machine Learning & Deep Learning

• 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