Data Scientist Lead/AD
- Gurgaon, Haryana
- Permanent
- Full-time
- Shape and execute the Data Science roadmap for ML, GenAI, and ASR, including tooling, methodologies, and best practices.
- Architect, develop, and deploy large-scale ML and GenAI pipelines, including Voice Activity Detection (VAD), Speaker Diarization, and ASR models.
- Own the full data science lifecycle, from opportunity identification and requirement gathering to modeling, deployment, monitoring, and optimization.
- Drive MLOps practices, including CI/CD for models, feature stores, monitoring, and automated rollback strategies.
- Mentor and develop junior and mid-level data scientists, fostering a culture of continuous learning and collaboration.
- Partner with cross-functional stakeholders to align on project goals, timelines, and SLAs.
- 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role.
- Proven expertise in developing and deploying ASR systems, including training models (e.g., Whisper), designing VAD pipelines, and implementing Speaker Diarization (e.g., Pyannote).
- Deep knowledge of large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval.
- Expert proficiency in Python and its core libraries, including NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, and Hugging Face Transformers.
- Strong understanding of ML & deep learning architectures like NLP transformers and GNNs.
- Experience with orchestration and deployment tools such as Docker, Kubernetes, Airflow, and cloud services (AWS/GCP/Azure).
- A Master's or Ph.D. in a related technical field (Computer Science, Statistics, etc.).
- Prior experience in the Economics/Financial industry.
- Public contributions on platforms like GitHub, Kaggle, or technical blog