דרושים Sr Data Scientist Finops - Global Analytics ב-אמזון ב-India, Hyderabad

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
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

We're seeking an experienced Senior Software Development Manager to lead the onboarding team that is critical for developing capabilities that support 1.5 B documents per month across 100+ partner team on the document generation platform. In this role, you will lead the definition, and shepherd the development, of new features as well as important optimizations to the service. This role is a good fit for someone who thrives in a dynamic environment, is technical, who can work with multiple tech stakeholders to drive consensus towards long term tech product strategy.Key job responsibilities
• Lead and scale multiple engineering teams across complex, interdependent systems
• Drive innovation through AI, identifying and solving operational problems that unlock value to the customer
• Partner with senior leadership across Product, UX, and Engineering to align on strategic priorities and resource allocation
• Establish engineering excellence standards, operational metrics, and continuous improvement practices across teams
• Present technical strategy and progress to VP-level stakeholders with clarity and executive presenceA day in the life
Review and provide strategic guidance on major architectural decisions and system design proposals
· Mentor engineering managers and senior engineers on technical leadership and career development
· Communicate engineering progress and strategic recommendations to senior leadership
· Connect with tech partners to identify process/operational/tooling gap to identify opportunities to self-serve
· Partner with peers to negotiate resource allocation and coordinate large-scale initiatives

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The position responsibilities will include scaling support of several data center locations of ADSIPL in India and be responsible for day-to-day assistance with capacity management. The Network Technician will work closely with both internal customers of ADSIPL and external vendors to facilitate smooth project execution as directed by Technical Program Managers.The ideal candidate should be highly autonomous, very detail oriented, possesses strong written and verbal communication skills and has significant experience in supporting large scale, enterprise class networks. Excellent network implementation and troubleshooting skills combined with a proven documentation methodology is also required. Strong written and verbal communication skills and an ability to interact efficiently with peers and customers are required. The desire and ability to work in a fast paced, collaborative environment is essential. In addition to providing top-tier management and support of Amazons vast network infrastructure, Network Technicians are expected to build or enhance tools, develop best practices, refine operational procedure and constantly think proactively and innovativelyKey job responsibilities
As ID Network Technician key responsibilities will include following :
1. Leads multiple concurrent projects by coordinating
project activities, communicating withand resolving unmet dependencies through
engaging with external stakeholders.
2. Estimate project requirements in terms of time, cost and resources
3.Participate in the installation, migration, basic configuration and rollout of new or upgraded hardware.4. Troubleshoot network or physical component issues as needed during deployment.
5. Communicate with stakeholders and share regular updates.
6. Up to 20% travel may be required
application interaction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 1+ years of computer networking experience
- 1+ years of Linux operating systems experience
- Bachelor's degree in Information Technology, Computer Science, or a related field
- Experience in computer networking
- Experience working with Linux operating systems
- Can lift and rack equipment up to 40 pounds
- Experience with computer hardware troubleshooting and repair

Key job responsibilities
• Lead complex, high-visibility technical programs that power the world's most comprehensive digital video studios technology organization
• Drive architectural decisions and technical strategy for next-generation studios businesses from Sales, Distribution and Studios Marketing Technology
• Partner with engineering teams to build scalable solutions that handle massive amounts of global content data
• Collaborate with MGM Studios, Prime Video leadership, and cross-functional teams to deliver innovative entertainment experiences
• Mentor and develop other engineers while raising the bar for operational and engineering excellenceImpact You'll Own:
• Shape the technical foundation that brings award-winning content to viewers worldwide
• Design and implement systems that seamlessly handle complex content relationships across multiple dimensions (regions, languages, licensing, etc.)
• Drive operational excellence initiatives that scale across Amazon's global entertainment ecosystem • Lead programs that integrate MGM's iconic content library with Amazon's streaming technologyWhat You Bring:
• Deep technical expertise in large-scale distributed systems and architecture
• Proven track record leading complex technical programs with multiple stakeholders
• High Bar in driving operational and engineering excellence, strategic thinking and tactical execution
• Strong communication skills and ability to influence senior leadership and other engineering teams across broader organization.
• Experience scaling teams and mentoring other engineers to force multiple.

- 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

Key job responsibilities
• Lead documentation improvement initiatives across multiple operational processes
• Collaborate with cross-functional teams to update and maintain knowledge management systems
• Support business intelligence and data analytics projects
• Assist with system configurations and operational support
• Manage and track issue resolution across various platforms
• Partner with logistics service providers on operational improvements
A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- • Currently enrolled in a Bachelor's or Master's degree program in Supply Chain Management, Logistics, Business Analytics, Engineering, or related field
- • Strong analytical and problem-solving skills
- • Excellent written and verbal communication abilities in English
- • Experience with data analysis and process documentation
- • Proficiency in Microsoft Office suite

- • Previous internship experience in program management, supply chain operations, and/or technical documentation
- • Familiarity with wiki platforms and documentation systems
- • Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- • Experience in global transportation and/or logistics operations
- • Strong organizational skills with ability to manage multiple priorities

An ideal candidate will be an expert in the areas of machine learning, operations research, and statistics. With expertise in applying theoretical models in an applied environment relying heavily on the latest advances in machine learning, optimization, stochastic modeling, and engineering. The candidate will be expected to work on numerous aspects, such as feature engineering, modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models. Challenges will involve dealing with very large data sets and requirements on throughput.Key job responsibilities
- Create experiments and prototype implementations of new learning algorithms and prediction techniques

- 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 Java, C++, Python or related language
- Experience in professional software development
- Experience implementing algorithms using toolkits and self-developed code

- 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