Responsibilities:

• Model Development: Assist in the development, fine-tuning, and deployment of generative AI and large language models based solutions.
• Data Preparation: Clean, preprocess, and organize large datasets for training and evaluation purposes.
• RAG Frameworks – Customize and fine-tune existing / new RAG frameworks to meet project requirements.
• Research and Experimentation: Conduct experiments to test and validate model performance and keep up to date with the latest advancements in the field of AI and NLP.
• Performance Optimization: Implement techniques to improve model efficiency, accuracy, and scalability.
• Collaborative Projects:  Work with cross-functional teams to integrate AI models into various applications and services.
• Documentation: Maintain clear and comprehensive documentation of model architectures, processes, and findings

Qualifications:

• 2-3 3 years of industry experience is developing and deploying ML/DS/GenAI solutions
• Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. A master's degree is a plus.
• Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Mathematics and Statistics: Strong understanding of fundamental concepts in mathematics and statistics, including linear algebra, calculus, and probability.
• NLP Knowledge: Basic knowledge of natural language processing techniques and concepts, such as tokenization, embeddings, and sequence models.
• Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and effectively communicate findings.
• Teamwork: Strong collaborative skills and a willingness to work in a dynamic team environment.
• Curiosity and Learning: Eagerness to learn and stay current with the latest research and trends in generative AI and LLMs.

Education:

• Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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