Data Science Manager

Responsibilities:

• Lead and mentor data scientists and ML engineers.
• Drive end-to-end ML/AI projects from development to production.
• Build and optimize classical ML and deep learning models.
• Develop and fine-tune LLMs using LoRA/QLoRA, PEFT, and related techniques.
• Build RAG pipelines, AI agents, and LLM-based solutions.
• Define model evaluation, monitoring, and MLOps practices.
• Collaborate with Product, Engineering, and Business teams.
• Drive AI/ML technical roadmap and architecture decisions.

Requirements:

• 7+ years in data science, ML, or AI.
• 2-3+ years leading data science/ML teams.
• Strong Python, SQL, Scikit-learn, and PyTorch/TensorFlow.
• Strong expertise in classical ML and deep learning.
• Hands-on LLM fine-tuning experience.
• Experience with Hugging Face, Transformers, PEFT, and LoRA/QLoRA.
• Knowledge of RAG, embeddings, vector databases, and AI agents.
• Production ML deployment and MLOps experience.
• Experience with AWS/Azure/GCP and tools like MLflow, SageMaker, Kubeflow, or Vertex AI.