bengaluru karnataka phd life science Jobs – 139 Open Jobs Today

Applied Scientist II, Central Machine Learning
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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PhonePe —Bengaluru, Karnataka
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ASSPL - Karnataka —Bengaluru, Karnataka
- Full-time
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Engineeing Manager, Machine Learning
Roku —Bengaluru, Karnataka
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Molex —Bengaluru, Karnataka
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Principal AI Scientist - GTM Tech
Intuit —Bengaluru, Karnataka
- Doctoral degree
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Analyst - Forecasting
AstraZeneca —Bengaluru, Karnataka
- Full-time
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Growth Data Scientist
DocuSign —Bengaluru, Karnataka
- Hybrid work
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Product Developer - Abrasives Systems Division
3M —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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Senior Machine Learning Engineer, Model Training & Evaluation
ABBYY —Bengaluru, Karnataka
- Remote
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Paid time off
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Application Security Intern
Rubrik Security Cloud —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
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Senior Manager, Foundational AI Research
Dolby —Bengaluru, Karnataka
- Doctoral degree
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10d
Functional Safety Systems- Senior Staff Engineer
Qualcomm —Bengaluru, Karnataka
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Completions & Well Management Research Engineer - Advanced
ExxonMobil —Bengaluru, Karnataka
- Azure
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Engineering Division - AI Research - Vice President - Bengaluru
Goldman Sachs —Bengaluru, Karnataka
- Doctoral degree
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Principal Machine Learning Engineer - Model Efficiency Optimization
ABBYY —Bengaluru, Karnataka
- Remote
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Paid time off
Quick apply
PV Compliance Principal Specialist, QPPV Off
Novo Nordisk —Bengaluru, Karnataka
- Doctoral degree
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Senior Clinical Data Scientist I
AstraZeneca —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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14d
Applied Scientist II, Alexa International
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree

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Applied Scientist II, Central Machine Learning

ADCI - Karnataka -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

Data mining
Doctoral degree
UNIX
Java
Master's degree
C++
C
Machine learning
Distributed systems
Software development
Linux
Python

Full 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 using Unix/Linux
Experience in professional software development

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.

Apply Now

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phd life science jobs in bengaluru karnataka

Applied Scientist II, Central Machine Learning

Engineering Manager

Senior Energy Researcher and Policy Consultant

Operations Research Scientist, ROW SHARP Research

Engineeing Manager, Machine Learning

CAE Project Leader- Structural

Principal AI Scientist - GTM Tech

Analyst - Forecasting

Growth Data Scientist

Product Developer - Abrasives Systems Division

Senior Machine Learning Engineer, Model Training & Evaluation

Application Security Intern

Senior Manager, Foundational AI Research

Functional Safety Systems- Senior Staff Engineer

Completions & Well Management Research Engineer - Advanced

Engineering Division - AI Research - Vice President - Bengaluru

Principal Machine Learning Engineer - Model Efficiency Optimization

PV Compliance Principal Specialist, QPPV Off

Senior Clinical Data Scientist I

Applied Scientist II, Alexa International

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