דרושים Principal Applied Scientist - Cmt Systems ב-אמזון ב-India, Bengaluru

Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment.
We are looking for Applied Scientists to tackle challenging problems in the areas of high scale data processing, quality & natural language based information retrieval from data . You will encounter many challenges, including- Accuracy (High precision and recall requirements) in deduplication and anomaly detection
- Diversity (models need to work across different data formats, languages, and sources)
You will help us to
- Build scalable systems for intelligent catalog management using ML/AI-based deduplication and entity resolution
- Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets.
- Build knowledge graph-based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at scale.Key job responsibilities- Design, develop, evaluate and deploy, innovative and highly scalable ML models- Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance
- Leading 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
- 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 using Unix/Linux
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

Key job responsibilities
The right candidate will possess a strong program management background, has experience leading large projects, and has a well-rounded technical background in current technologies. As a Technical Program Manager, your responsibilities will include writing specifications, driving project schedules from design to release, stakeholder management and managing the production launch. You will act as a Single Threaded Owner (STO) to lead and coordinate the design and implementation efforts, coordinating across multiple engineering teams to develop scalable solutions. You will work directly with customers, disambiguate the requirements, anticipate bottlenecks and risks, make trade-offs, provide escalation management and balance the business needs versus technical constraints. You must be able to thrive and succeed in an entrepreneurial environment, destroy limits to scale, and not be hindered by ambiguity or competing priorities. This means you are able to develop and drive high-level strategic initiatives while rolling up your sleeves to get the job done. This role will require high judgement on how we can deliver for customers in both the short- and long-term.A day in the life
TFS has over 200+ engineers, and 10+ product & program managers. Each TPM is responsible for delivering large to medium programs; working closely with clients and product, building transformation roadmaps to deliver long term benefits for our customers.

- 3+ years of technical product or program management experience
- 2+ years of software development experience
- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

- 3+ years of working directly with engineering teams experience

JOB SUMMARY The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact. Possessing strong technology and program/project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you’ll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilities
As an experienced technology program/project manager, you will be responsible for:
Leading and managing complex cloud migration and implementation projects
Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning
Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes Distilling customer needs into clear technical requirements and map them to business outcomes
Decomposing complex technical problems into actionable, deliverable solutions
Contributing to technical documentation and define documentation standards

- Experience with the project management of technical projects
- Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

- AWS experience preferred
- Project Management Professional (PMP) and/or AWS Certified Solutions Architect - Associate
- Strong understanding of AWS services, architectures, and best practices
- Experience applying AWS frameworks like Well-Architected and Cloud Adoption Framework
- Proven ability to establish technical credibility with engineering teams and senior technical decision-makers

- 10+ years of non-internship professional software development experience
- Knowledge of object-oriented design, data structures, and algorithms

- Experience designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)

Key job responsibilitiesA day in the life· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.
· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.
· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing
· Contribute through industry first research to drive the innovation forward.

- 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 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 using Unix/Linux
- Experience in professional software development

- Design, development, evaluate and deploy innovative and highly scalable models for predictive learning- Research and implement novel machine learning and statistical approaches- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Mentor other scientists and engineers in the use of ML techniques
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

- 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 data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
- Proficient in any two of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.