Indira Nagar Bengaluru Karnataka Store in Jobs – 129 Open Jobs Today

Sr. Applied Scientist , Grocery, Retail & In-Store Experience (GRAISE)
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
sales executive
WoknStove Foodworks Pvt. Ltd —Bengaluru, Karnataka
- ₹20,000 - ₹22,000 a month
- Part-time
- Sales
- Customer service
- Bachelor's degree
- Health insurance
Quick apply
Cashier @ Whitefiled location
Sangam Heritage Foods Private Limited —Whitefield, Bengaluru, Karnataka
- Full-time
- Customer service
- Cashiering
- POS
Quick apply
Sales Executive
MERLLA FACILITY MANAGEMENT PVT LTD —Mahatma Gandhi Road, Bengaluru, Karnataka
- ₹15,000 - ₹18,000 a month
- Weekend availability
- English
- Microsoft Office
- 12th Pass
- Health insurance
Quick apply
11d
Wanted Sales Executive
Sulakshmi enterprises —Bengaluru, Karnataka
- ₹15,000 - ₹20,000 a month
- Full-time
- Microsoft Excel
- Sales
- English
Quick apply
1d
Retail Sales Executive
Byrappa Silks —Bengaluru, Karnataka
- ₹14,000 - ₹16,000 a month
- Part-time
- In-person
- Communication skills
Quick apply
7d
Retail Sales Assistant
SPINCYCLES —Thanisandra Main Rd, Karnataka
- ₹15,000 - ₹25,000 a month
- Full-time
- Customer service
- English
- Cashiering
Quick apply
Sales Promoter
Shakun Distribution —Bengaluru, Karnataka
- ₹17,000 - ₹20,000 a month
- Full-time
- Customer service
- 12th Pass
- Bachelor's degree
Quick apply
Inside Sales Executive
WoknStove Foodworks Pvt. Ltd —Bengaluru, Karnataka
- ₹15,000 - ₹20,000 a month
- Part-time
- Sales
- Customer service
- Bachelor's degree
- Health insurance
Quick apply
Sales Executive
SWA DIAMONDS —Bengaluru, Karnataka
- Full-time
- English
- Communication skills
- Flexible schedule
Quick apply
10d
Sales Executive
Wallinza —BTM Layout, Bengaluru, Karnataka
- ₹16,000.00 - ₹33,755.06 a month
- Full-time
- Sales
- English
- 12th Pass
Quick apply
Retail Sales Associate
PlayShifu —Bengaluru, Karnataka
- ₹15,000 - ₹18,000 a month
- Full-time
- English
- Bachelor's degree
- In-person
- Paid time off
- Paid sick time
Quick apply
5d
Sales Associate
TIMEHOUSE —Bangalore City, Bengaluru, Karnataka
- Weekend availability
- Customer service
- Microsoft Office
- Cashiering
Quick apply
Retail Sales Associate
TENTH DIMENSION JEWELS —Sahakar Nagar, Bengaluru, Karnataka
- ₹15,000 - ₹30,000 a month
- Weekend availability
- Sales
- English
- Computer skills
- Paid time off
- Flexible schedule
Quick apply
Retail Sales Associate - Bengaluru (1+ Year)
Informica Solutions —Bengaluru, Karnataka
- Weekend availability
- Data entry
- Communication skills
- Retail sales
Quick apply
Junior Executive- Sales
Malabar Group —Malleswaram, Bengaluru, Karnataka
Sales Promoter
Samsonite —Bengaluru, Karnataka
- Full-time
11d
Administrative Assistant Empowering safety through technological excellence
Skyleaf Consultants —Bengaluru, Karnataka
- ₹2,00,000 - ₹4,00,000 a year
- Full-time
- Microsoft Office
- Project management
Operation Assistant
T20 Opticals —Kannamangala, Bengaluru, Karnataka
- ₹15,000 - ₹22,000 a month
- Full-time
- In-person
Quick apply
7d
Finance Manager, IN Stores Finance
ASSPL - Karnataka - B56 —Bengaluru, Karnataka
- Full-time
- Finance
- Master's degree
- Analysis skills

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Sr. Applied Scientist , Grocery, Retail & In-Store Experience (GRAISE)

ADCI - Karnataka -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Image processing
Doctoral degree
Computer vision
Java
Master's degree
C++
C
Machine learning
Deep learning
Python

Full job description

DESCRIPTION

We are looking for a Senior Applied Scientist who will own the science strategy and technical direction for computer vision and machine learning within the Amazon grocery ecosystem. You will identify the highest-impact problems in ambiguous, rapidly evolving domains, frame them rigorously, and drive solutions from research through production at scale. You will lead cross-functional technical decisions with engineering, product, and business partners, shaping not just what we build but also how we invest. This is a role where your scientific judgment, architectural choices, and ability to create clarity from ambiguity will directly define the intelligence layer powering millions of grocery shopping experiences.

Key job responsibilities

Own the end-to-end science strategy for computer vision and machine learning solutions in the grocery domain, navigating ambiguity to identify the highest-impact opportunities
Develop novel approaches to complex, unsolved perception and identification challenges where off-the-shelf methods are insufficient; publish findings internally or externally to advance the state of the art
Define the evaluation framework and success criteria for model performance, establishing metrics that connect scientific outcomes to measurable business impact and using these to influence roadmap prioritization
Lead cross-functional technical design with engineering, product, and operations partners, driving architecture decisions for model serving, data pipelines, and system reliability at scale rather than solely handing off models for productionization
Identify and resolve ambiguous, cross-team technical dependencies (e.g., upstream data quality, annotation infrastructure, model interoperability) that block progress across multiple workstreams; propose and drive solutions proactively
Influence technical direction beyond the immediate team mentor scientists, raise the bar in hiring, establish best practices for experimentation and model development, and represent the team's science strategy to senior leadership
Communicate complex technical trade-offs and recommendations to VP-level stakeholders, shaping investment decisions and aligning cross-org partners on science-informed product direction

A day in the life
As a Senior Applied Scientist on the GRAISE team, you'll own the technical strategy for how computer vision and multimodal learning come together to solve perception problems in grocery stores — many of which no one has cleanly formulated yet. On any given day, you might diagnose a surprising failure mode from overnight experiments and decide whether to pivot your approach entirely, co-architect a serving system with engineers while defining confidence thresholds and graceful degradation paths, present a precision-recall trade-off to senior leaders in terms that shape launch decisions and investment priorities, or unblock a cross-team dependency on annotation infrastructure — all while mentoring junior scientists and carving out time for deep technical work on problems the team hasn't cracked. Your scientific judgment and architectural choices will directly shape the shopping experience for millions of customers across Amazon's grocery stores.

About the team
The GRAISE team (Grocery, Retail & In-Store Experience) within World Wide Grocery Store Tech (WWGST) builds foundational AI and machine learning systems that power Amazon's in-store grocery technologies. We develop domain-specific models that solve uniquely complex challenges in grocery — from smart shopping carts and inventory intelligence to personalization and store operations. Our mission is to create technology which makes grocery shopping more convenient, economical, personalized, and enjoyable for customers while empowering retailers with operational efficiency

BASIC QUALIFICATIONS

5+ years of building machine learning models for business application experience
PhD, or Master's degree
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

Experience leading end-to-end science efforts from problem formulation through production launch
Hands-on experience building, training, and deploying computer vision models in production systems operating at scale on real-world, noisy data
Experience building and improving continuous model training pipelines, including human-in-the-loop annotation workflows, active learning, and data flywheel strategies that compound model quality over time
Demonstrated ability to work with multimodal data (images, video, sensor signals, text/catalog metadata) and design systems that fuse heterogeneous inputs for robust inference
Familiarity with retail, logistics, or physical-world perception domains where environmental variability (lighting, angles, occlusion, sensor diversity) makes controlled-lab performance an unreliable predictor of real-world accuracy

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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Sr. Applied Scientist , Grocery, Retail & In-Store Experience (GRAISE)

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Retail Sales Associate - Bengaluru (1+ Year)

Junior Executive- Sales

Sales Promoter

Administrative Assistant Empowering safety through technological excellence

Operation Assistant

Finance Manager, IN Stores Finance

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