Must have knowledge of statistical techniques and machine learning algorithms.
Develop and deploy scalable tools and services to handle machine learning training and inference.
Maintain the infrastructure and tools that allow us to deploy and monitor our ML algorithms in production
. Apply software engineering rigor and best practices to machine learning, including CI/CD and automation etc.. Translate business issues into specific requirements to develop analytic solutions and identify appropriate data to support the solution deliver large-scale programs that integrate processes with technology to help clients achieve high performance. Key skills 5+ years of extensive work experience and deep knowledge with hands on experience on Python with OOP concepts to create highly secure and quality productionable code. V Good knowledge and work experience in Unix commands, Shell scripts etc. Expertise in software engineering principles such as design patterns, code design, testing and documentation Writing effective and scalable codes, implementing robust, and maintainable Python applications Understanding and hands on exposure predictive analytics , Text Analysis-Natural Language process (NLP) techniques, Machine learning and deep learning experience Strong analytical and problem-solving skills Writing python testcases with unittest, pytest libraries Fluent in structured and unstructured data, its management, balancing of data using statistical techniques and modern data transformation methodologies. Experience in a fast-paced, agile environments managing uncertainty and ambiguity. Comfortable operating in a Linux environment Experience working in an AGILE development team. Experience building model training pipelines in the cloud. Experience orchestrating the deployment and management of predictive models in a cloud environment. Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders. Provide expert thought leadership in the area of business analytics and work with limited direction. Prior experience of working with data visualization tools such as PowerBI, Tableau or QlikView is preferred. Excellent written and Verbal communication, business analysis, data visualization, and data storytelling skills
