Job Description

Requirements:

4+ years of experience in practical implementation and deployment of large customer-facing ML based systems. In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of classification. Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and optimizations. Identifying the data-analytics problems that offer the greatest opportunities to the organization Determining the correct data sets and variables Collecting large sets of structured and unstructured data from disparate sources Cleaning and validating the data to ensure accuracy, completeness, and uniformity Devising and applying models and algorithms to mine the stores of big data Analysing the data to identify patterns and trends Interpreting the data to discover solutions and opportunities Communicating findings to stakeholders using visualization and other means Real world Experience with supervised learning and semi supervised learning models Expert knowledge in python/R model development

Responsibilities:

Comprehend business requirements and develop software in a timely and quality manner Meet timelines and ensure overall targets set from time to time are met Should be working as a individual contributor, take the owner ship to maintain and support the applications and come up with the innovative thoughts on improving the existing applications A home office that provides the right ambiance to work

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