Data Science Manager

Qualifications

• 15+ years of experience in Data Science, Machine Learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or Master’s preferred).
• Hands-on experience with:
• Classical ML: XGBoost, Random Forest, SVM, etc.
• Deep Learning: CNNs, RNNs, LSTMs, Transformers
• NLP: BERT, GPT, LLaMA, T5, etc.
• GenAI: Diffusion models, LLM fine-tuning, prompt engineering

• Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.).
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow).
• Strong understanding of data architecture, feature engineering, and model deployment pipelines.
• Experience with vector databases, retrieval-augmented generation (RAG), and semantic search.
• Familiarity with LLMOps and GenAI safety frameworks.
• Publications or patents in AI/ML domains.

Required Skills

• Excellent communication and storytelling skills.
• Strong problem-solving and analytical thinking.
• Ability to inspire and lead high-performing teams.
• Adaptability in a fast-paced, evolving tech landscape.