Data Science and Engineering Lead
6 days ago
Fonada is looking for a highly skilled Data Science and Engineering Lead to join its team and lead the development of cutting-edge AI solutions.
About the RoleThe ideal candidate will have 5-8 years of experience in leading data science and engineering teams, with a focus on NLP and AI applications. They should be proficient in NLP libraries and frameworks such as spaCy, NLTK, Gensim, and deep learning tools like Tensor Flow, PyTorch.
Key Responsibilities:
- Lead the development of NLP models for real-time applications such as Chabots, virtual assistants, sentiment analysis, and other AI-driven projects.
- Collaborate with data scientists and AI engineers to design and implement efficient solutions for processing large-scale datasets.
- Write clean, scalable, and efficient Python code to develop AI modules and integrate them with existing applications.
- Research and implement the latest NLP techniques, algorithms, and tools to improve model performance and accuracy.
- Assist in deploying machine learning models on cloud platforms such as AWS, Google Cloud, or Azure.
Requirements:
- 5-8 years of hands-on experience in leading data science and engineering teams, with a focus on NLP and AI applications.
- Proficiency in NLP libraries and frameworks such as spaCy, NLTK, Gensim, and deep learning tools like Tensor Flow, PyTorch.
- Strong understanding of machine learning models and techniques for NLP tasks, including text processing, sentiment analysis, entity recognition, and language generation.
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