Roles and Responsibilities

Desired Skills: - A strong track record and demonstrable interest in mining and analyzing data, looking for stories, patterns, trends and insights. Experience in Deep Learning is mandatory. - Focus on developing clear and concise analytical approach for problem-solving - Skilled in working with large and complex datasets with a keen eye for detail and accuracy. - Strong understanding of ML libraries and applications e.g. Time series analysis, Neural Net, SVMs, Boosting methods and implementation using Python.

Experience in Pyspark will be an added advantage. - Develop hypotheses, design experiments, collaborate with engineering team on implementing the A/B tests, and evaluate their performance - Proven achievements resulting from data analysis and ability to succeed in both collaborative and independent work environments - Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams - Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. - Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data. Desired Qualifications for ML Engineer/ML Specialist role:

Desired Candidate Profile

Early Joiners are highly desirable.

Deep Learning is mandatory here,pls do not apply without Deep Learning exp.

Full Stack Data Scientists can also apply.We are looking for some exp in Java.

Perks and Benefits Attractive ctc package with additional allowances.