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Job Opening for Applied Scientist II, Central Machine Learning at ADCI – Karnataka, Hyderabad, Telangana – Hyderabad, Telangana, India

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Published 4 hours ago

Welcome to our job portal, where ADCI - Karnataka is offering exciting employment opportunities for the position of Applied Scientist II, Central Machine Learning in the Hyderabad, Telangana area. We are currently seeking Full-time candidates.

We are looking for individuals who possess excellent skills and have relevant beginners/seniors in the field. Moreover, we highly value traits such as honesty, discipline, and accountability in our prospective employees.

As a company operating in the (according to the company) industry, we provide a wide range of professional opportunities. If you are interested in exploring a rewarding career path with ADCI - Karnataka, we encourage you to submit your application directly through our website.

Join our growing team and embark on a fulfilling career journey with ADCI - Karnataka. Don't miss out on the chance to be part of our dynamic work environment. Apply now and take the first step towards a bright future.

Job Information

Company:ADCI – Karnataka
Position:Applied Scientist II, Central Machine Learning
City:Telangana, Hyderabad
Province:Telangana
Education:Confidential
Salary:INR 40.000 - INR 80.000 per Month
Job Type:Full-time

Job Description

DESCRIPTION

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses.
If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company’s bottom-line, we want to talk to you.
Major responsibilities
  • Use machine learning and analytical techniques to create scalable solutions for business problems
  • Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
  • Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
  • Research and implement novel machine learning and statistical approaches
  • Work closely with software engineering teams to drive real-time model implementations and new feature creations
  • Work closely with business owners and operations staff to optimize various business operations
  • 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.

About the team
Central Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users.

BASIC QUALIFICATIONS

  • 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

PREFERRED QUALIFICATIONS

  • Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
  • Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Benefit

  • Opportunities for promotion
  • Access to the latest technology
  • Professional networking opportunities
  • Valuable work experience
  • Work-life balance
  • Recognition and performance awards
  • Professional training
  • Collaborative work environment
  • Skill development
  • Opportunities to contribute to business growth

Requirements

  • Able to Work Under Pressure
  • Physically and Mentally Healthy
  • Minimum Education of High School Diploma
  • Good Communication Skills
  • Able to Work in a Team
  • Experience in the Related Field (Preferred)
  • Minimum Age of 18 Years
  • Willing to Be Placed in the Designated Work Location
  • No Criminal Record

Company Address

Province Hyderabad, Telangana
City Hyderabad, Telangana
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