ADCI

Technology

AppliedScientist,CentralMachineLearning

₹25–45L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Applied Scientist, Central Machine Learning at ADCI. Skills: Machine learning, Data science, Statistical modeling. Use machine learning and analytical techniques. Create scalable solutions for business problems”

What You'll Achieve.

Provide better value to customers; Optimize millions of transactions; Solve real world problems; Directly impact profitability; Create impact for Emerging Marketplaces; Direct impact on millions of consumers

Industry & Context.

Technology
Problems you'll solve

Solve real-world problems; Generate insights and opportunities

What They're Looking For.

Must Have

3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing

Nice to Have

PhD preferred, Experience in large scale distributed systems, Experience in LLMs, Experience in NLP, Experience in Computer Vision, Experience in Classification models using Boosting/Bagging or Deep Neural Networks

What You'll Do.

Use machine learning and analytical techniques

Create scalable solutions for business problems

Analyze and extract information from data

Automate and optimize key processes

evaluate and deploy models

Implement novel machine learning and statistical approaches

Drive real-time model implementations

Optimize business operations

Develop statistical and ML models

Prepare presentations

How You'll Work.

Team & Collaboration

Work closely with software engineering teams; Work closely with business owners; Work closely with operations staff; Collaboration with other Scientists; Collaboration with Engineers; Collaboration with Product Managers

Communication Scope

Verbal presentations; Written presentations

Full Job 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 dev

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