
Chief Data Strategist
2 weeks ago
We are seeking a seasoned expert in data-driven innovation to spearhead advanced analytics initiatives and drive strategic decision-making.
Main Responsibilities:
- Data Science Leadership: Develop and implement cutting-edge AI solutions, leveraging ML frameworks (PyTorch, TensorFlow, Scikit-learn), NLP techniques, and Generative AI tools.
- Project Delivery: Drive end-to-end data science projects from inception to deployment, ensuring scalability, performance, and reliability of models.
- Tech Enablement: Mentor junior data scientists in technical delivery, fostering a culture of collaboration and knowledge sharing.
- Business Partnership: Partner with stakeholders to translate business needs into actionable AI strategies.
Key Skills:
- Programming Languages: Strong proficiency in Python and ML frameworks.
- Natural Language Processing: Deep expertise in NLP, LLM fine-tuning, transformers, and GenAI frameworks.
- Model Deployment: Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, GCP).
- Data Engineering: Strong knowledge of data engineering concepts, feature engineering, and large-scale data handling.
- Vector Databases: Familiarity with vector databases (FAISS, Pinecone, Weaviate) and orchestration tools (LangChain, LlamaIndex).
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