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Lead Software Engineer
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CREQ208303 Requisition #
3. Experience with modern LLM-based libraries such as LangChain, PyTorch, GPT, Transformers
Proficient in Python, particularly in relation to Model training, NLP, Gen-AI and creating end to end frameworks and knowledge in Gemini LLM/R2 D2
2. Well versed in Data science concepts, modelling techniques, statistical models, deep learning 
3. Proficient in modeling- Training, testing and evaluating models.
5. Knowledge of creating API using WSGI server like Flask, Fast API. 
6. Experience with elastic search will be an advantage
Design and implement generative AI models.
Collaborate with cross-functional teams to integrate AI capabilities into our products and services.
Stay abreast of the latest AI research and technologies, identifying opportunities for application and improvement.
Conduct experiments and prototype new concepts to evaluate their potential impact.
Ensure the ethical use of AI, including fairness, transparency, and privacy considerations.
Optimize AI models for performance, scalability, and efficiency.
Provide technical leadership and mentorship in AI technologies and methodologies.
Advanced degree in Computer Science, AI, Machine Learning, or related field.
Strong programming skills in Python and familiarity with AI development tools (e.g., TensorFlow, PyTorch).
Experience with edge computing or deploying AI models in production environments.

3. Experience with modern LLM-based libraries such as LangChain, PyTorch, GPT, Transformers
Proficient in Python, particularly in relation to Model training, NLP, Gen-AI and creating end to end frameworks and knowledge in Gemini LLM/R2 D2
2. Well versed in Data science concepts, modelling techniques, statistical models, deep learning 
3. Proficient in modeling- Training, testing and evaluating models.
5. Knowledge of creating API using WSGI server like Flask, Fast API. 
6. Experience with elastic search will be an advantage
Design and implement generative AI models.
Collaborate with cross-functional teams to integrate AI capabilities into our products and services.
Stay abreast of the latest AI research and technologies, identifying opportunities for application and improvement.
Conduct experiments and prototype new concepts to evaluate their potential impact.
Ensure the ethical use of AI, including fairness, transparency, and privacy considerations.
Optimize AI models for performance, scalability, and efficiency.
Provide technical leadership and mentorship in AI technologies and methodologies.
Advanced degree in Computer Science, AI, Machine Learning, or related field.
Strong programming skills in Python and familiarity with AI development tools (e.g., TensorFlow, PyTorch).
Experience with edge computing or deploying AI models in production environments.

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