דרושים System Admin/engr Ii Cis Corporate Infrastructure Product Management ב-אמזון ב-הודו

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

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

Overview of the role
The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst 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. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements.Key job responsibilities
• Scoping, driving and delivering complex projects across multiple teams.
• Performs root cause analysis by understanding the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data.
• Build programs to create a culture of continuous improvement within the business unit, and foster a customer-centric focus on the quality, productivity, and scalability of our services.
• Find the scalable solution for business problem by executing pilots and build Deterministic and ML/LLM models.
• Manages meetings, business and technical discussions regarding their part of the projects.
• Makes recommendations and decisions that impact development schedules and the success for a product or project.
• Drives team(s)/partners to meet program and/or product goals.
• Coordinates design effort between internal team and External team to develop optimal solutions.
• Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes.
• Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan.
• Ability to deal with ambiguity and problem solver
• Communicate ideas effectively and with influence (both verbally and in writing), within and outside the team.Key Performance Areas:
• Solve large and complex business problems by aligning multiple teams together.
• Data analytics and Data Sciences
• Machine learning
• Project/Program Management
• Automation initiative conceptualization and implementation
• Big Data analytics
• Product development – Scoping and Testing
• Defect Elimination
• Agile Continuous Improvement

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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