Bengaluru Karnataka Phd in mathematics Jobs – 93 Open Jobs Today

Senior AI Solution Architect
Sourceo —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Public speaking
2d
AI/ML Data Scientist
Nexionpro —Bangalore City, Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply
6h
Cloud Solution Architect
Clarus Advisers —Bengaluru, Karnataka
- Online application
- Azure
- Doctoral degree
- Computer Science
Quick apply
14d
Staff Product Analytics Engineer
Celonis —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Paid time off
5d
GBM - Systematic Credit - Quantitative Engineering - VP - Bengaluru
Goldman Sachs —Bengaluru, Karnataka
- Doctoral degree
- Java
- Master's degree
- Health insurance
Senior Data Scientist
LIFESIGHT TECHNOLOGIES PRIVATE LIMITED —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
Quick apply
MRGR Treasury- Associate
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Research
- Health insurance
Director, MTS
The Nielsen Company —Bengaluru, Karnataka
- ₹0 a year
- Full-time
- Doctoral degree
- Salesforce
- English
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Lead Marketing Scientist
LIFESIGHT TECHNOLOGIES PRIVATE LIMITED —Bengaluru, Karnataka
- Doctoral degree
- Master's degree
- SQL
Quick apply
SR DATA SCIENTIST
TE Connectivity —Bengaluru, Karnataka
- Computer science
- Doctoral degree
- Data analysis skills
Senior Data Scientist
iQuanti —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Advisory Consultant
Dell Technologies —Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
Senior Machine Learning Engineer (Bangalore/Noida Location)
Level AI —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Director, Principal Engineer - Applied AI
Barclays —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- DevOps
Senior Manager - Model Risk
KPMG —Bengaluru, Karnataka
- Doctoral degree
- Master's degree
- AI
Chief Thought Leader
Continues Intelligence Lab —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Java
Associate Professor-Statistics, UNSW - Bengaluru Campus
Emeritus Institute of Management —Bengaluru, Karnataka
- Doctoral degree
- Research
- Training & development
Principal Engineer - AI Engineering
GE Vernova —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior AI & Data Engineer
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior Manager Analytics
Mquest Business Solution —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree

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Senior AI Solution Architect

Sourceo
Bengaluru, Karnataka

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Job details

Internship
2 days ago

Qualifications

Doctoral degree
Computer Science
PyTorch
SAS
Public speaking
Master's degree
AWS
Machine learning
Software development
AI
Design patterns

Full job description

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs.

As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system.

Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.

This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.

Key job responsibilities

The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
Technical Leadership & Mentorship: Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization.

Basic Qualifications

7+ years of design/implementation/operations/consulting with distributed applications experience
5+ years of management of technical, enterprise customer facing resources or equivalent experience
Experience giving skills and communicating complex concepts clearly and effectively to diverse audiences across different functions
Experience leading engineering discussions around technology decisions and strategy related to a product
5+ years of building large-scale machine learning and AI solutions at Internet scale experience
Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization

Preferred Qualifications

Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience (non-internship) in professional software development
Experience engaging and influencing C-level executives, both business and technical
Cloud Technology Certification, or AWS Professional level certification
Experience developing solutions and executing plans on complex projects
Experience leading and influencing your team or organization
Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with PyTorch, JIT compilation, and AOT tracing
Deep Agentic AI expertise - Hands-on experience with multi-agent orchestration, tool use, memory, and guardrails using frameworks such as LangGraph, AutoGen, or AWS AgentCore; proficiency in responsible AI tooling including AWS Clarify, Guardrails for Bedrock, model explainability, and bias detection
Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g., Financial Services, Healthcare, Public Sector)

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](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.

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