Applied Scientist Ii Last Mile Science jobs at Amazon in India

Key job responsibilities

- 3+ years of non-internship professional software development experience
- 2+ years of Apple platform development experience
- 3+ years of programming with at least one software programming language experience
- Application development experience on iOS with swift and Kotlin

- 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

Key job responsibilities
In this role, you will:
1. Develop and maintain of key features of the system.
2. Work with team members to devise design approaches, prototype new technology and evaluate technical feasibility.
3. Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
4. You will apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements.5. You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders etc.) on understanding business objectives, gathering requirements and delivering solutions.

- 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 programming with at least one software programming language

- 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

Digital Acceleration org in Amazon is looking for a talented and enthusiastic Software Development Engineer to build world-class Digital Post Purchase Platform for digital subscriptions.

- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

- 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

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

- 1+ years of non-internship professional software development experience
- Experience programming with at least one software programming language

- Bachelor's degree in computer science or equivalent

Key job responsibilities
In this role, you will:
1. Develop and maintain of key features of the system.
2. Work with team members to devise design approaches, prototype new technology and evaluate technical feasibility.
3. Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
4. You will apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements.5. You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders etc.) on understanding business objectives, gathering requirements and delivering solutions.

- 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 programming with at least one software programming language

- 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

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