דרושים Capacity Planning Analyst Alexa Shopping Operations ב-אמזון ב-India, Chennai

- 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

Overview of the role
The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Selling Partner Return Reduction space. This will require collaboration with Product, Science and Engineering 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
• Collaborate and propose best in class ML/LLM solutions for business requirements
• Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap
• Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Communicate technical concepts to stakeholders at all levels
• Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments
• Familiar with ML/LLM models and able to work independently.

- 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. 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

Alexa is revolutionizing how people interact with technology through ambient computing, with voice as the cornerstone interface. At Alexa Communications, we're creating the future of seamless integration between Alexa and mobile devices, transforming how people connect and communicate in their daily lives.This position is within the Alexa Communications team, developing core software components that bridge the gap between Alexa and smartphone ecosystems. You'll work with domain experts and software engineers to deliver key features that enable intuitive, context-aware communication experiences across platforms.Key job responsibilities
Help shape our product and technology strategy for creating a unified communication ecosystemDefine features that enable seamless integration between Alexa and mobile devicesArchitect solutions that support rich, contextual communication experiencesDrive best practices for building intelligent, anticipatory communication featuresContribute to developing advanced connectivity solutionsSuccess in this role requires exceptional technical expertise, strong fundamentals in Computer Science, and experience building large-scale distributed systems. You should be passionate about complex system software, customer-centric solutions, and creating reliable, scalable, and high-performance services that bridge devices and platforms.

- 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

Alexa is a pioneering personal assistant and cloud service, leading the way in ambient computing devices designed around voice interaction. We believe that voice is the most natural and intuitive way to interact with technology across various domains, and we're driving this revolutionary paradigm shift.Our team is constantly evolving, embracing the latest advancements in LLM models and cutting-edge AWS technologies to delight customers with truly seamless, error-free, and conversational experiences. The new features we're developing with LLM will catapult Alexa's capabilities to unprecedented levels, making it a true powerhouse in natural communication. You'll be part of a team that's electrified by this pivotal direction, fueled by our latest engagement results and motivated to continually push the boundaries of what's possible. Join us on this exhilarating journey, where you'll be building LLM-powered distributed systems that enable world-class, highly scalable, and user-friendly solutions. As we aspire to connect people through Alexa like never before, you'll be at the forefront of groundbreaking innovation, constantly discovering and achieving new milestones in voice technology.

- 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 Responsibilities:Own and develop advanced substitutability analysis frameworks combining text-based and visual matching capabilities
Develop and implement advanced image matching techniques including pattern recognition, style segmentation, and texture analysis
Create performance measurement frameworks to evaluate product matching accuracy across different product categoriesProvide technical expertise in scaling substitutability analysis across 2000 different product types in multiple marketsTechnical Requirements:Deep expertise in developing hierarchical matching systems
Strong background in image processing and visual similarity algorithms
Experience with large-scale data analysis and model performance optimization
Ability to work with multiple data sources and complex matching criteriaKey job responsibilities
Success Metrics:
Reduce manual analysis time for product matching identification
Successfully implement enhanced visual matching capabilities
Create scalable solutions for multi-market implementation
A day in the life
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior Business Research Analysts.

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) 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.Key job responsibilities
• 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.
• Familiar with ML models and work independent.
• 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