Work on existing Digital Products and understand and enhance the current intelligent models and innovatively improve them.
Work with stakeholders to identify opportunities from data, drive innovation and a culture of Invention Disclosures.
Translate data into actionable insights to empower confident decisions, product creation & development, drive optimization, marketing techniques, business strategies and outcomes.
Research, develop, plan and implement predictive AI/ML/DL based algorithms, Optimization techniques for IoT, IIOT, Robotics and other digital products.
Develop, manage and maintain Machine Learning and Deep Learning models and algorithms to apply to data sets.
Assess the effectiveness, efficacy and accuracy of new data sources and data gathering techniques.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Motivation and drive to seek out for new projects and opportunities.
Qualifications
Masters Degree - A Ph.D. in Electrical Engineering, Computer Science, or related fields is required.
Strong oral and written communication skills.
A collaborative mindset to excel in a team environment.
Ability to take complex problem objectives and come up with innovative and flexible solutions.
Proven track record of driving changes.
Ability to reconcile complex possibly conflicting tasks and come up with realistic solutions
Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc.
Expertise with statistical techniques and their applications in business.
Coding knowledge and experience with Python is a minimum. C, C++, Java, R and JavaScript is a plus.
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