LEAD DATA SCIENTIST - Python

Key Responsibilities

Model & Pipeline Development

Build and deploy multimodal ML models across:

• Natural Language Processing (NLP)
• Computer Vision (CV)
• OCR and document understanding

Develop robust pipelines for:

• Text processing, entity extraction, and classification
• Image tagging, moderation, and visual understanding
• Speech-to-text and speaker-level analysis
• Implement Retrieval-Augmented Generation (RAG) pipelines with text and multimodal indexing
• Optimization & Performance Engineering
• Optimize model inference for latency, throughput, and cost efficiency across batch and near real-time workloads

Apply optimization techniques including:

• Batching and asynchronous inference
• Quantization, pruning, or distillation
• GPU and accelerator utilization tuning
• Analyze and troubleshoot model performance in production environments
• MLOps, LLMOps & Deployment

Build and maintain CI/CD pipelines for ML workloads using:

• GitHub Actions, Azure DevOps, or Jenkins

Deploy models as cloud-native microservices, leveraging:

• Docker, Kubernetes (AKS) and FastAPI

Use Azure Machine Learning for:

• Experiment tracking
• Model registry
• Training pipelines and deployment

Implement monitoring and observability for models and pipelines:

• Metrics, logging, alerts, and drift detection (e.g., Prometheus, Grafana)
• Application & Platform Integration

Integrate AI capabilities into enterprise applications such as:

• Search and recommendation systems
• Knowledge, document, or content platforms
• Auto-tagging, summarization, transcription, and moderation workflows
• Design and expose inference and retrieval APIs for downstream consumption
• Collaborate with backend, data, and platform teams to ensure scalable and secure AI integrations
• Collaboration & Mentorship
• Partner with product managers, data scientists, and engineers to translate business requirements into deployable AI solutions
• Review code, promote best practices, and mentor junior engineers
  • Contribute to reusable components, documentation, and engineering standards.