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AI Developer
5 months ago
We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot.
TasksKey Responsibilities:
- Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements.
- Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs.
- Model Evaluation: Design and execute experiments to evaluate model performance, accuracy, and scalability, using metrics relevant to the business.
- Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability.
- Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals.
- Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions.
Qualifications:
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Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.).
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Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).
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Technical Skills:
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Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
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Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms.
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Experience in retraining and fine-tuning LLMs using large-scale datasets.
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Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment.
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Data Skills: Expertise in data preprocessing, augmentation, and management of large datasets for training purposes.
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Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex AI challenges.
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Communication: Excellent communication skills to explain technical concepts to non-technical stakeholders.
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Version Control: Proficiency with version control tools such as Git.
Required skills
- Experience in retraining LLMs on various datasets
- Conversational AI
- Python
- Docker
Preferred Skills:
- Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems.
- Knowledge of model interpretability techniques and responsible AI practices.
- Familiarity with MLOps pipelines for continuous integration and deployment of AI models.
- Experience with API development and integration for deploying AI services.
- Prior experience in working with proprietary or sensitive data.
What We Offer:
- Competitive Salary: Based on experience and expertise.
- Professional Growth: Opportunities for career development, including access to the latest AI research and technologies.
- Flexible Work Environment: Options for remote work and flexible hours to promote work-life balance.
- Innovative Culture: Join a forward-thinking team that values creativity, collaboration, and innovation.
Interested candidates are invited to submit their resume, a cover letter, and any relevant project portfolios.
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