Data Science Lead - Artificial Intelligence
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Responsibilities
- Lead AI-driven projects, overseeing the development and deployment of advanced machine learning models and algorithms.
- Collaborate with cross-functional teams to integrate AI solutions into business processes.
- Research and implement cutting-edge AI techniques, including deep learning, NLP, and generative models.
- Mentor junior team members and promote best practices in AI development.
Qualifications
- Master's degree or higher in Data Science, Computer Science, Statistics, or a related field; PhD preferred.
- Experience in Generative AI, Machine Learning, or NLP, especially in academic or financial sectors.
- Proven research record with publications and significant project contributions involving AI technologies.
Skills
- Expertise in machine learning, deep learning (CNNs, RNNs, GANs), and transformer models for NLP.
- Experience with algorithms like RAG, LoRA, and ensemble methods; optimizing for performance and scalability.
- Strong knowledge of data architecture, data pipelines, and cloud deployment (AWS, Azure, GCP).
- Proficiency in NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
Additional Details
- Seniority level: Not Applicable
- Employment type: Contract
- Job function: Engineering and IT
- Industries: IT Services and Consulting
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