
Data Innovation Leader
3 semanas atrás
We are seeking an expert Data Scientist to lead our machine learning and data analysis initiatives.
- A strong background in programming languages such as Python, R, SQL, and experience working with large datasets is essential.
- The ideal candidate will have hands-on experience with data wrangling and preprocessing using tools like Pandas and NumPy, and expertise in managing structured and unstructured data.
- Familiarity with advanced NLP techniques, including text generation, summarization, and sentiment analysis, and hands-on experience with large language models (LLMs) is required.
- Expertise in Generative AI models, including GANS, VAES, and transformer-based models like GPT and BERT, with experience training, fine-tuning, and deploying these models.
- Fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance is a key responsibility.
- Proficiency in machine learning frameworks and libraries, including TensorFlow, PyTorch, or Scikit-Learn, is necessary for success.
- Understanding of evaluation metrics and methods for Generative AI models and data-driven insights is crucial.
- Familiarity with cloud platforms AWS, GCP, Azure, and their services for AI/ML, including model deployment and monitoring, is beneficial.
What We Offer
- A dynamic work environment that fosters innovation and collaboration.
- Ongoing training and professional development opportunities to enhance your skills and expertise.
- A competitive compensation package that reflects your value to the organization.
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