דרושים Applied Scientist Last Mile Address Intelligence Lmai ב-אמזון ב-India, Hyderabad

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

- 3+ years of experience in DevOps or Platform Engineering
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g. Lambda, EKS, CodePipeline, CodeBuild, CodeDeploy)
- AWS level certifications (e.g. DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g. Terraform, Python, CDK)
- Knowledge of security and compliance standards (e.g. HIPAA, GDPR)
- Strong communication skills with the ability to explain DevOps concepts to both technical and non-technical audiences

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

Key job responsibilities
Innovate in visual translation: Design, develop, and deploy state-of-the-art machine learning models for image translation, including text detection, recognition, and translation in images across multiple languages and scripts.Experiment and iterate: Design and execute experiments to evaluate the performance of different models across diverse image types, languages, and domains, and iterate quickly to improve results.
Build robust evaluation frameworks: Create comprehensive evaluation frameworks for assessing model performance across different languages, scripts (Latin, CJK, RTL, Indic), visual domains, and translation quality metrics.Drive scientific excellence: Publish your research at top-tier conferences.

- Experience programming in Java, C++, Python or related language
- Master's degree
- Experience researching about machine learning, deep learning, NLP, computer vision, data science

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Have publications at top-tier peer-reviewed conferences or journals

Key job responsibilities
• Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall
BI capabilities
• Build visually stunning, interactive dashboards and reports that provide actionable insights to
GREF customers using Amazon QuickSight
• Lead the design and implementation of highly complex, scalable, and high-performance BI• Use advanced analytics techniques, such as statistical analysis, predictive modeling, and
machine learning, to uncover hidden patterns and trends in data
• Collaborate cross-functionally with data engineers, data scientists, and business partners to• Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities
• Represent the BI function in strategic business discussions and provide data-driven
recommendations to senior leadership

- 2+ years of experience as a Business Intelligence Engineer or similar role
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages

- Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field
- 3+ years of experience as a Business Intelligence Engineer or similar senior-level role
- Experience in designing and implementing BI architectures and data models
- Experience collaborating with cross-functional teams to deliver successful BI initiatives

Key job responsibilities
· Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation
· Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.
· Develop metrics that helps support product category growth and expansion plansAbout the team
Diverse Experiences
AWS 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.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

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Knowledge of SQL and data warehousing concepts

Key job responsibilities
* Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, driving product-level improvements for our international marketplaces. Drive innovation on Image and Video translation.* Architect and implement novel, scalable machine learning solutions that enhance translation quality evaluation and improve translation pipeline efficiency across multiple teams and systems.* Spearhead cross-functional collaborations to define strategic project requirements, establish organization-wide success metrics, and deliver high-impact solutions aligning with broader business objectives.* Drive comprehensive data analysis to uncover non-obvious insights in multilingual data, relaying findings into actionable strategies that influence product roadmaps and capabilities for language technologies.* Pioneer and implement modeling techniques for machine translation quality assessment and pipeline optimization, leading the team's scientific agenda. Invent new methodologies when existing approaches fall short, advancing the state-of-the-art.* Serve as a recognized expert in LLM applications for e-commerce translation, communicating complex concepts to diverse stakeholders including senior leadership. Influence organization-wide adoption of innovative approaches in language translation technologies.* Actively mentor team members, elevating scientific capabilities and fostering a culture of innovation and rigorous inquiry in machine translation and evaluation.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 5+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon Web Services (AWS) is looking for an experienced and motivated technologist who possess a unique balance of industry knowledge, technical depth and strong interpersonal skills. As the AWS Financial Services Senior Solutions Architect, you will work with some of the world’s largest financial services companies, AWS Sales and several other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address industry business problems and accelerate the adoption of AWS services.Financial Services Solutions Architects are viewed as experts in their domain, and support customer engagements when those engagements require deep and authoritative industry expertise, and a keen understanding of architectural and technical requirements. The Solutions Architects will influence the definition of the technical strategy for their industries by:
• Identifying patterns
• Defining technical trends that can affect the industry
• Publishing reference architectures
• Building industry quickstarts and other development kits
• Collecting technical best practices in the industry
Key job responsibilities• With the broader Financial Services team, develop technical elements of the strategic plan for accelerating adoption of AWS across the industry
• You will be responsible for establishing technical credibility in the sales cycle (personally or with the broader technical team) by supporting discussions across our Financial Services customers and partners
• Educate customers of all sizes on the value proposition of AWS within Financial Services, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
• Act as a technical liaison between customers, service engineering teams and support
• Serve as a technical domain expert on deploying Financial Services industry workloads and applications on AWS
• Architect solutions leveraging AWS technology, including solution development and potentially demonstrate technical feasibility through mechanisms including proof-of-concepts and/or prototypes
• Travel may be required for this role, up to 25%About the team
Diverse Experiences
AWS 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.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

- 5+ 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
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience