
Chief Data Analytics Officer
1 day ago
We are seeking an experienced and skilled data scientist to lead our company's data-driven initiatives.
Job Description:
The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain.
Key Responsibilities:
- Lead advanced ML and GenAI model design and development.
- Drive end-to-end data science projects from data preparation to deployment.
- Apply LLMs, transformers, and other GenAI techniques to business problems.
- Guide and mentor junior data scientists in technical delivery.
- Partner with stakeholders to translate business needs into AI solutions.
- Ensure scalability, performance, and reliability of deployed models.
- Stay current with GenAI advancements and evaluate adoption for the organization.
Required Skills:
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Deep expertise in NLP, LLM fine-tuning, transformers, and GenAI frameworks.
- Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, GCP).
- Strong knowledge of data engineering concepts, feature engineering, and large-scale data handling.
- Experience with vector databases (FAISS, Pinecone, Weaviate) and orchestration tools (LangChain, LlamaIndex).
- Excellent problem-solving, communication, and leadership skills.
What We Offer:
Competitive salary and benefits package, opportunities for professional growth and development, and a dynamic work environment that fosters innovation and collaboration.
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