Senior Applied Science Mgr Ads Advertising Trust jobs at Amazon in India

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

Join us in revolutionizing the future of Living Room device testing at Prime Video. Living Room Device Services (LRDS) enables automated testing across 800+ living room device types globally through our Device Farm infrastructure, providing programmatic control and remote access for Amazon teams worldwide. You'll develop AI-powered tools and AWS-based solutions that simplify test debugging, device access, and performance evaluation across our distributed device ecosystem.You'll be at the forefront of building solutions for our Device Farm - a unique and sophisticated platform that enables automated testing across more than 800 devices across the hyper fragmented Living Room EcoSystem.Your impact will extend beyond just writing code - you'll be the bridge between our Device Farm customers and innovation, gathering valuable feedback and transforming it into enhanced features. Working with AWS technologies, you'll orchestrate a robust ecosystem of physical devices and virtual emulators, ensuring Prime Video delivers exceptional experiences to our Living Room Customers.

- 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

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

Sales, Marketing and Global Services (SMGS)Being a thought leader who creates and presents content you’ll help all of our customers scale and grow in non-linear ways, using AWS as their building blocks.You will test traditional thinking by pushing the boundaries for your customers and AWS to dream and deliver beyond what they think is possible.
Key job responsibilities• Drive technical solutions discussions with your customers, diving deep into the details to solve complex technical problems and use your knowledge to craft scalable, flexible, and resilient cloud architectures.
• Scope and own customer engagements, with attention towards clear and well-defined objectives and success criteria.
• Work backwards from your customer's business needs to accelerate adoption of the most appropriate AWS technology
• Define and execute on the strategy by engaging highly technical teams (Solutions Architects, Technical Account Managers, AWS professional services consultants and consulting/managed services partners).
• Act as a thought leader in the wider community, playing a key role in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops.
• Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. Proactively work within the organisation to influence the evolution of the platform.
• Serve as a key technical member of the Solutions Architecture team through influencing decision makers across multiple domains to ensure customer success in building applications and services on the AWS platform which align to long-term business goals.A day in the life
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.

- Bachelor's degree
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- 5+ years in design and implementation of applications on cloud using microservices , event driven architectures. Exposure to AI/ML, Gen AI technologies and services.

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.We are looking for Data Center Technicians to join our expanding Infrastructure Operations team. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems. You will be part of the Data Center Operations (DCO) team, overseeing the operation and maintenance of the IT infrastructure and hardware for data centers in AWS Cloud regions. You will become the primary resolver for your support team, and gain troubleshooting skills on different hardware and software cases. You will be able to troubleshoot and solve most infrastructure issues and engage other appropriate solutions groups on more complex problems to drive solutions.Key job responsibilities
Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. Own the safety initiatives and projects to foster a strong safety culture.DATA CENTER OPERATIONS (DCO)This position involves:
- Diagnosing hardware and network problems followed by physical repairs
- Troubleshooting events within internal Service Level Agreements (SLAs)
- Performing root cause analysis of equipment failures
- Manual handling and lifting of equipment may be required (weight limits in accordance with regulations)Local travel may be required up to 10% of the time. A valid (EU) driving license is required as Data Centers may not have any public transportation available nearby.Location Requirements:
Our data centers are located in remote areas outside Milan, where access via public transport may be limited. Therefore, a valid EU driving license is required for this role.Work Schedule:
About the team
Diverse 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.
Work/Life BalanceMentorship & 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.

- IT hardware troubleshooting related experience
- Completed formal education/apprenticeship or training in IT related field
- B1 level of English

- Diploma or equivalent formal qualification in IT related field
- Basic knowledge of Linux and experience with network protocols and in Data Center

Key job responsibilitiesA day in the life
You will work in one of the complex data environments and will innovate on behalf of our advertising customers. You will bring data together to answer business questions and guide our businesses by pushing the boundaries of data analytics and science to solve analytics problems in a fast-moving environment. You will collaborate with internal partners from tech, science, sales, marketing, finance, and other cross-functional teams to deliver successfully against high organizational standards.

- 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 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