Applied AI Engineer

Job Description

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.