We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.

Innovation & Research: Stay abreast of the latest developments in data science, machine learning, and medical diagnostics. In this role, you will lead complex projects that fuse machine learning, predictive analytics, and data analysis techniques to advance our diagnostic technologies.

KNOWLEDGE, EXPERIENCE & SKILLS Master’s or PhD in Data Science, Computer Science, Engineering, Statistics, Biostatistics, or a related field. The ideal candidate will have a strong background in data analysis, predictive modeling, and machine learning, with a passion for applying these skills to solve complex problems in medical diagnostics.

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering. Hands on experience in building Machine Learning and Artificial Intelligence models.

Employ techniques and theories drawn from areas of mathematics, statistics, machine learning, semiconductor physics, materials science, signal processing, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Business Analytics, or a closely related field plus one year of experience in the job offered, as a data scientist, or a related occupation.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.

Ph. D. in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math. Master's degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math.

Staying current with the latest advancements in data science and machine learning; Computer and Information Science, Mathematics, Computer Engineering, Artificial Intelligence and Robotics, Statistics, Data Processing/Analytics/Science, Mathematical Statistics.

MS or Ph. D. in data science, computer science, statistics, applied mathematics, engineering, or economics. Your primary focus will be to develop and maintain a robust data architecture to advance our reporting, analytics, and experimentation capabilities, and on a longer term you will use predictive modeling and machine learning methods to allow the broader organization to understand, lead, and optimize our customer experiences.

4+ years of experience as a Machine Learning Engineer or Data Scientist. Master's Degree in Computer Science/Engineering required, data science concentration is a plus; PhD is preferred.

Conference papers in machine learning/data mining/artificial intelligence related fields (KDD/WWW/NIPS/ICML/CVPR/ACL/AAAI etc). Currently pursuing a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.