Applied Scientist, Central Machine Learning

Amazon; Asti; In loco; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy is seeking an Applied Scientist for their Central Machine Learning team. The ideal candidate will have a strong background in machine learning and experience in creating scalable solutions for business problems. Key responsibilities include analyzing large datasets, designing models, and collaborating with engineering teams. This role offers the opportunity to impact millions of customers and contribute to innovative solutions.

Competenze

• 3+ years of building models for business applications.
• Experience in patents or publications at top-tier conferences.
• Experience with parallel and distributed computing.

Mansioni

• Design, evaluate, and deploy innovative models for predictive learning.
• Analyze large datasets to help automate key processes.
• Mentor other scientists and engineers.

Conoscenze

Machine learning

Data analysis

Algorithms and data structures

Programming in Java, C++, Python

Statistical modeling

Formazione

PhD or Master's degree in CS, CE, ML or related field

Strumenti

EMR

Spark

Elasticsearch

Hadoop

HIVE

Descrizione del lavoro

Applied Scientist, Central Machine Learning

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)
• 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.

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