Mandatory Skills • AI Model Development.
• Python, C++, and Java.
• TensorFlow and PyTorch.
• machine learning algorithms, including supervised and unsupervised learning.
• NLP techniques, such as BERT, GPT-3, and Transformer models.
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Job Description :
As an Open AI Architect , you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence models and applications. Your expertise in natural language processing, machine learning, and deep learning will be instrumental in driving innovation and advancing our AI capabilities.
Responsibilities:
AI Model Development: Design, develop, and train state-of-the-art AI models, leveraging deep learning frameworks like TensorFlow and PyTorch. Create novel architectures and algorithms to tackle complex problems in natural language processing, machine vision, and other AI-related domains.
• NLP and Language Understanding: Apply your expertise in NLP techniques, such as BERT, GPT-3, and Transformer models, to build intelligent systems capable of understanding and generating human-like language.
• Data Analysis and Preprocessing: Work with large-scale datasets, perform data analysis, and preprocess data to prepare it for AI model training. Implement data augmentation techniques to enhance model performance and generalization.
• Model Optimization and Deployment: Optimize AI models to achieve high performance and efficiency. Deploy models on cloud platforms like AWS, Azure, or Google Cloud to ensure scalability and real-time capabilities.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and actively participate in research and experimentation to improve existing models and explore new AI applications.
• Collaborative Projects: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI functionalities into existing products and develop new AI-driven solutions.
• Testing and Evaluation: Conduct rigorous testing and evaluation of AI models, ensuring they meet the required quality and accuracy benchmarks.
• Documentation: Create comprehensive documentation for AI models, algorithms, and applications, enabling knowledge sharing and easy integration for future projects.
• Code Reviews and Best Practices: Participate in code reviews, provide constructive feedback, and adhere to best practices in AI development to maintain code quality and consistency.
Required Skills :
• Education: Bachelor's/Master's/Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Technical Skills:
• Proficiency in programming languages such as Python, C++, and Java.
• Strong experience with deep learning frameworks like TensorFlow and PyTorch.
• In-depth knowledge of NLP techniques and language models like BERT and GPT-3.
• Familiarity with machine learning algorithms, including supervised and unsupervised learning.
• Experience with version control systems (e.g., Git) and collaborative coding practices.
• Problem-Solving Abilities: Ability to analyze complex AI challenges, devise innovative solutions, and implement them effectively.
• Communication Skills: Excellent verbal and written communication skills to convey technical concepts and collaborate with team members.
• Continuous Learning: Demonstrated passion for AI and a commitment to staying updated with the latest trends and technologies in the field.
• Team Player: Strong team player with the ability to work collaboratively in a fast-paced, dynamic environment.
• Portfolio: A strong portfolio of AI projects and open-source contributions is a plus.
-- • Python, C++, and Java.
• TensorFlow and PyTorch.
• machine learning algorithms, including supervised and unsupervised learning.
• NLP techniques, such as BERT, GPT-3, and Transformer models.
-------------------------------------------------------------------
Job Description :
As an Open AI Architect , you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence models and applications. Your expertise in natural language processing, machine learning, and deep learning will be instrumental in driving innovation and advancing our AI capabilities.
Responsibilities:
AI Model Development: Design, develop, and train state-of-the-art AI models, leveraging deep learning frameworks like TensorFlow and PyTorch. Create novel architectures and algorithms to tackle complex problems in natural language processing, machine vision, and other AI-related domains.
• NLP and Language Understanding: Apply your expertise in NLP techniques, such as BERT, GPT-3, and Transformer models, to build intelligent systems capable of understanding and generating human-like language.
• Data Analysis and Preprocessing: Work with large-scale datasets, perform data analysis, and preprocess data to prepare it for AI model training. Implement data augmentation techniques to enhance model performance and generalization.
• Model Optimization and Deployment: Optimize AI models to achieve high performance and efficiency. Deploy models on cloud platforms like AWS, Azure, or Google Cloud to ensure scalability and real-time capabilities.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and actively participate in research and experimentation to improve existing models and explore new AI applications.
• Collaborative Projects: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI functionalities into existing products and develop new AI-driven solutions.
• Testing and Evaluation: Conduct rigorous testing and evaluation of AI models, ensuring they meet the required quality and accuracy benchmarks.
• Documentation: Create comprehensive documentation for AI models, algorithms, and applications, enabling knowledge sharing and easy integration for future projects.
• Code Reviews and Best Practices: Participate in code reviews, provide constructive feedback, and adhere to best practices in AI development to maintain code quality and consistency.
Required Skills :
• Education: Bachelor's/Master's/Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Technical Skills:
• Proficiency in programming languages such as Python, C++, and Java.
• Strong experience with deep learning frameworks like TensorFlow and PyTorch.
• In-depth knowledge of NLP techniques and language models like BERT and GPT-3.
• Familiarity with machine learning algorithms, including supervised and unsupervised learning.
• Experience with version control systems (e.g., Git) and collaborative coding practices.
• Problem-Solving Abilities: Ability to analyze complex AI challenges, devise innovative solutions, and implement them effectively.
• Communication Skills: Excellent verbal and written communication skills to convey technical concepts and collaborate with team members.
• Continuous Learning: Demonstrated passion for AI and a commitment to staying updated with the latest trends and technologies in the field.
• Team Player: Strong team player with the ability to work collaboratively in a fast-paced, dynamic environment.
• Portfolio: A strong portfolio of AI projects and open-source contributions is a plus.
Best Regards, | |
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