Applied Scientist II, Taskless Job Vacancy in ADCI HYD 13 SEZ Hyderabad, Telangana – Latest Jobs in Hyderabad, Telangana

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Company Name : ADCI HYD 13 SEZ
Location : Hyderabad, Telangana
Position : Applied Scientist II, Taskless

Job Description : A MS in CS, Operations Research, Statistics, Machine Learning or other highly quantitative field.
3+ years of hands-on experience (academic or industrial) in machine learning, optimization, and large data analysis.
Strong coding and problem-solving skills in at least one programming language such as Python, Java, C++, etc.
Working knowledge of large-scale data processing (e.g., Hadoop, Spark).
Solid theoretical understanding of broad machine learning concepts with deep expertise in at least one area including but not limited to natural language processing, computer vision, deep neural network, reinforcement learning

Job summary
Do you want to define the future of Internet commerce?
Are you a top-notch software engineer with a creative flare, strong problem-solving skills, the drive to build and ship products often, a solid computer science foundation, and the desire to build Amazon’s next generation Internet-facing technology? Come talk with us about joining our team to help our tax teams serve customers better.

Is your next project defining a world class Internet service?
With us, you will be building cutting-edge applications and services in an environment of highly distributed systems used by Amazon Tax teams. Your innovation will provide new functionality for millions of vendors/payees globally with a goal of making it easy to comply with tax regulations.

Are you ready to create systems to expand one of the world’s largest e-commerce engines?
If so, come be a member of Amazon’s Taskless Technology team. Taskless Tech builds software systems that ensure compliance for Amazon businesses and its subsidiaries and makes it easy for for millions of Amazon vendors including publishers, app developers, game developers, marketplace sellers, associates and others to comply for tens of billions of dollars in transactions. We’re constantly looking for opportunities to expand capabilities in new geographies and new lines of business.

Can you work at the scale of the biggest Internet companies?
The solutions that you will deploy must scale to accommodate rapid processing and integration with large enterprise customers. However, to add to the challenge, the solutions must also support intuitive world class UI for Amazon Tax teams to pay millions of vendors.

Amazon is a premier place to build, deploy and operate Internet-scale services.
Join our development team to work hard, have fun and make history. You will join a highly technical and entrepreneurial culture defining and building a selling experience to complement Amazon’s world-class websites.

Amazon’s Taskless Tax Technology team operates software platforms that are among the largest in the world by volume and complexity. We interact upstream with all of Amazon’s businesses globally and the majority of our projects are cross-functional. Much of our work enables Amazon’s new market or business model launches and happens as part of these enterprise programs. We partner integrally with the CFO organization worldwide, including the central finance functions and line of business leadership.
We’re looking to hire thought leaders who will drive architectural and design choices, invent new features, develop distributed services, and build a scalable, service-oriented platform for our people. We have a team culture that encourages innovation and we expect developers and management alike to take a high level of ownership for the product vision, technical architecture and project delivery.

As a Software Development Engineer, you will drive the architecture of next generation of tools and technologies for growing compliance needs of the organization as unlocking expansion in multiple countries and new businesses. You will be a role model to set an example for engineers in your team as well as influence across teams. You will build highly scaleable and secure softwares. You will develop algorithms for efficient and error free transactions as well as ensuring tractability of every transaction in real-time. You will build algorithms to get insights from transaction data for potential savings for Amazon. You will build processes that drive accountability within your team, where people assume and take responsibility for actions and decisions. You will solve problems at their root, stepping back to understand the broader context.

Key job responsibilities
As an applied machine learning scientist, you work with a team of scientists and engineers to drive research directions. You will propose and explore publication-worthy innovation in NLP and IR to build ML models trained on terabytes of data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.

Analyze the data and metrics resulting from traffic into Amazon’s Witholding Tax service
Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize processes
Design, experiment and evaluate models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Research and implement novel machine learning, statistical and econometrics approaches
Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR

A PhD in CS, Operations Research, Statistics, Machine Learning or other highly quantitative fields.
At least one publication in a leading conference or journal related to machine learning.
Prior industrial work experience as an applied scientist in one of the following areas: Operations Research, Dynamic Programming, Machine Learning, Reinforcement Learning.
Experience using an object-oriented language to write production-ready code.
Strong record of publications in one of the following areas: Operations Research, Dynamic Programming, Machine Learning, Reinforcement Learning.

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