Key Responsibilities:
• Work directly with application/product teams to define, develop and implement the right ML solution for the problem at hand.
• Come up with new solutions for solving automotive industry business problems.
• Define the correct evaluation metrics for offline and online evaluation. Creating and tracking accuracy and performance metrics.
• Incorporating new data sources and implementing creative methodologies to improve model performance.
• Helping build production systems that take inputs from multiple models and support decision making.
• Should be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. Should consistently bring strong, data-driven business and technical judgment to decisions.
Skills & Qualifications:
• 7-9 years of relevant experience.
• The right candidate has a background in probability and statistics, applied mathematics, or computational science and a history of solving difficult problems with good business impact using a scientific approach.
• Experience working with ML algorithms and frameworks.
• Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact.
• 5+ years of hands-on experience with analytics, data science and big data experience in a business context.
• Experience in programming in Python or similar languages and maintaining code repositories in git.
• Experience with data visualization and presentation, turning complex analysis into insights.
• Good to have experience in Recommendation Engine, Natural Language Processing.
Perks and Benefits:
• Competitive compensation.
• Generous stock options.
• Medical Insurance coverage.
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful
companies.
Bachelors
B.E
Analytics,Big Data,Machine learning,Python,Data Science,
IT-Software- Software services
