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· Research emerging AI technologies focused on contextual classification, multimodal models, and AI databases
· Design, develop, and deploy proof of concepts from research
· Collaborate with cross-functional teams to integrate models into our existing systems and workflow
· Participate in AI research, systems architecture discussions and code reviews
· Conduct data engineering and analysis to improve model accuracy and efficiency
· Fine-tune models based on feedback and performance metrics
· Master’s degree and above in AI, Machine Learning, Computer Science, Engineering, or a related field.
· Proficiency in model fine-tuning techniques for large-scale models and tailoring them to specific tasks.
· Experience with inference optimization techniques (e.g. quantization, pruning, hardware-specific optimizations)
· Hands-on experience in machine learning, natural language processing, and AI technologies with contributions to open-source AI/ML projects.
· Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch).
· Familiarity with MLOps practices and tools for deploying and managing models in production.
· Prior experience in a similar industry is a plus.
· Excellent problem-solving and analytical skills.
· Strong communication and teamwork abilities.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
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