Applied Scientist II, IN SPS Tech
- Salary
- ₹15–30 LPA
- Location
- Bengaluru
- Level
- Mid
- Experience
- Intermediate · 2+ years
About company
- Design, implement, test, deploy, and maintain innovative science solutions to accelerate our business. - Create experiments and prototype implementations of new learning algorithms and prediction techniques - Collaborate with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems - Use best practices to ensure a high standard of quality for all of the team deliverables BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 3+ years of building machine learning models or developing algorithms for business application experience - 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Jav PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of building machine learning models or developing algorithms for business application experience - Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
About Amazon
Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.