Sr Ai Applied Scientist

Role Overview: You will be a Sr. AI Applied Scientist specializing in AI and machine learning research at Pandita AI Inc. Your primary responsibilities will include designing and conducting experiments, applying machine learning models, developing algorithms, and performing in-depth data analysis to support cutting-edge solutions. Collaboration with cross-functional teams to optimize and implement groundbreaking AI technologies is a key aspect of this role. Key Responsibilities: - Design and conduct experiments in the field of AI and machine learning - Apply machine learning models and develop algorithms to create innovative solutions - Perform in-depth data analysis to support the development of cutting-edge technologies - Collaborate with cross-functional teams to optimize and implement AI solutions Qualifications: - Must have at least 3 years of experience in Machine Learning - Open to exceptional fresh PhDs or graduating PhDs - Publications in top conferences such as NIPS, ICML are required - Proficient knowledge in Computer Science and expertise in complex algorithm development - Strong skills in Pattern Recognition and applied machine learning techniques - Hands-on experience in Data Science and advanced data processing - In-depth understanding of Research methodologies and experimentation - Advanced knowledge of Statistics, including probabilistic modeling and data inference - PhD or Research Masters degree in a relevant field such as Electrical Engineering - Proven ability to publish research findings in peer-reviewed journals or conferences - Excellent problem-solving skills and ability to work on cutting-edge solutions Role Overview: You will be a Sr. AI Applied Scientist specializing in AI and machine learning research at Pandita AI Inc. Your primary responsibilities will include designing and conducting experiments, applying machine learning models, developing algorithms, and performing in-depth data analysis to support cutting-edge solutions. Collaboration with cross-functional teams to optimize and implement groundbreaking AI technologies is a key aspect of this role. Key Responsibilities: - Design and conduct experiments in the field of AI and machine learning - Apply machine learning models and develop algorithms to create innovative solutions - Perform in-depth data analysis to support the development of cutting-edge technologies - Collaborate with cross-functional teams to optimize and implement AI solutions Qualifications: - Must have at least 3 years of experience in Machine Learning - Open to exceptional fresh PhDs or graduating PhDs - Publications in top conferences such as NIPS, ICML are required - Proficient knowledge in Computer Science and expertise in complex algorithm development - Strong skills in Pattern Recognition and applied machine learning techniques - Hands-on experience in Data Science and advanced data processing - In-depth understanding of Research methodologies and experimentation - Advanced knowledge of Statistics, including probabilistic modeling and data inference - PhD or Research Masters degree in a relevant field such as Electrical Engineering - Proven ability to publish research findings in peer-reviewed journals or conferences - Excellent problem-solving skills and ability to work on cutting-edge solutions