Artificial Intelligence

As an Expert in Machine Learning (ML) and Natural Language Processing (NLP), you will be responsible for the following key responsibilities: - Proficient in Python, Pytorch, and Data Structures. - Hands-on experience in the ML model life cycle, including Data preparation, Model training and Testing, and ML Ops. - Strong expertise in NLP, NLU, and NLU using transformers and deep learning. - Knowledge and experience in federated learning is a plus. - Familiarity with knowledge graphs and ontology. Qualifications required for this role: - Experience working with scalable, highly-interactive, high-performance systems/projects in ML. - Proficiency in designing, coding, testing, debugging, and documenting programs for corporate systems architecture. - Ability to work closely with business partners to define requirements for ML applications and advancements. - Experience or knowledge in designing enterprise-grade system architecture for solving complex problems with a strong understanding of object-oriented programming and Design Patterns. - Familiarity with Test Driven Development and Agile methodologies. - Good communication skills for a client-facing environment. - Eagerness for learning, self-starting with a drive to technically mentor a cohort of developers. Additionally, the role may involve working on Knowledge Graph based ML products development and AWS/GCP based ML services. As an Expert in Machine Learning (ML) and Natural Language Processing (NLP), you will be responsible for the following key responsibilities: - Proficient in Python, Pytorch, and Data Structures. - Hands-on experience in the ML model life cycle, including Data preparation, Model training and Testing, and ML Ops. - Strong expertise in NLP, NLU, and NLU using transformers and deep learning. - Knowledge and experience in federated learning is a plus. - Familiarity with knowledge graphs and ontology. Qualifications required for this role: - Experience working with scalable, highly-interactive, high-performance systems/projects in ML. - Proficiency in designing, coding, testing, debugging, and documenting programs for corporate systems architecture. - Ability to work closely with business partners to define requirements for ML applications and advancements. - Experience or knowledge in designing enterprise-grade system architecture for solving complex problems with a strong understanding of object-oriented programming and Design Patterns. - Familiarity with Test Driven Development and Agile methodologies. - Good communication skills for a client-facing environment. - Eagerness for learning, self-starting with a drive to technically mentor a cohort of developers. Additionally, the role may involve working on Knowledge Graph based ML products development and AWS/GCP based ML services.