Senior Applied Scientist Rbs Tech jobs at Amazon in India

Key job responsibilities
As an SDE, you are responsible for setting a high bar throughout the software development and deployment lifecycle, including design, development, documentation, testing, and operations.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience programming with at least one software programming language
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports.Key job responsibilities
• Scoping, driving and delivering complex projects across multiple teams.
• Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data.
• Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications.
• Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
• Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements
• Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap
• Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments.
• Mentor Junior Research Analyst (RAs) and contribute to RA hiring

- • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
- • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms
- • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
- • Strong analytical thinking
- • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

- • Master's degree with specialization in ML, NLP or Computer Vision preferred
- • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)
- • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

Key job responsibilities
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceLeading projects and mentoring other scientists, engineers in the use of ML techniques

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- 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 state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment

As an SoC Manager, you will lead a team responsible for executing and delivering complex IPs and silicon that ship in the Blink and Ring camera products. Your team will be responsible for front-end digital design and verification of complex IP and SoC integration.
Key job responsibilities-Deliver world-class silicon that solves fundamental challenges in battery powered camera devices-Work with internal and external IP suppliers to ensure best-in-class IP availability for integration-Dive into and take ownership of crucial design issues-Lead design reviews-Build design processes to continuously improve performance and quality-Deliver year-on-year performance, power and features-Drive analysis to determine performance targets-Validate hardware/software and debug issues

- Bachelor's degree in Electronic Engineering, Computer Engineering, or a related field
- Experience managing teams of 8+ engineers
- Experience with all aspects of digital silicon development including RTL simulation, synthesis, front-end timing constraints, STA, LEC, UPF, low-power design flows, floor planning, etc.
- Has lead, delivered and shipped silicon for high-volume consumer devices

- Master's degree in Electronic Engineering, Computer Engineering, or a related field
- Experience designing and delivering SoCs for consumer devices
- Extensive years of management experience of engineering teams – either IP or SoC integration efforts

An Associate, Quality Services owns manual execution of documented set of task instructions for a list of components or features of a product, as per the defined productivity and quality targets, agreed SLA and adhere to processes.Key job responsibilities
Gain understanding of the application test procedures and how to use applicable software and tools.
· Execute test instructions and report test results accurately and promptly.
· Report any deviations observed
· Understand any changes in test instructions related to their assigned work
· Follow defined processes to perform assigned workA day in the life
Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes

- Bachelor's degree
- Knowledge of QA methodology and tools

- Understanding about software testing · Ability to complete assigned tasks accurately and promptly

- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

- Experience working with Tableau
- Experience using very large datasets