Kanakapura Road Karnataka Staff machine learning engineer Jobs – 193 Open Jobs Today

Staff Machine Learning Engineer
Palo Alto Networks —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Java
3d
Staff Machine Learning Engineer
Bazaarvoice —Bengaluru, Karnataka
- Full-time
- Hybrid work
- AWS
- Machine learning
- AI
Quick apply
QA Staff Engineer
Barracuda Networks Inc. —Bengaluru, Karnataka
- Azure
- Research
- Java
Quick apply
Staff AI Engineer
We Remote Devs —Bengaluru, Karnataka
- ₹60,00,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Staff Machine Learning Engineer
Eightfold.AI —Bengaluru, Karnataka
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Staff Engineer
Arm —Bengaluru, Karnataka
- Email
- B.Sc
- Master's degree
- C++
Staff Machine Learning Engineer
Tekion —Bengaluru, Karnataka
- Java
- Master's degree
- AWS
Staff Software Engineer
Tekion —Bengaluru, Karnataka
- Computer Science
- Engineering
- Master's degree
Staff Engineer - Digital Imaging
Pramana —Bengaluru, Karnataka
- Full-time
- Computer Science
- Research
- C++
Staff Engineer
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Engineering
5d
Senior Staff Engineer (Generative AI, Langchain + Langraph, Machine Learning)
Nagarro —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
1d
Staff Engineer - DV
SiFive —Bengaluru, Karnataka
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
Senior Staff Machine Learning Engineer
Tekion —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Senior Staff Software Engineer
Intuit —Bengaluru, Karnataka
- Computer Science
- B.Sc
- Java
5d
Engagement Applications Engineer, Staff
Synopsys —Bengaluru, Karnataka
- Computer Science
- B.Sc
- English
- Health insurance
Staff Software Engineer
Syntiant —Bengaluru, Karnataka
- Full-time
- C++
- Bachelor's degree
- Machine learning
Quick apply
Staff Engineer I
InMobi —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Staff Formal Verification Engineer
SiFive —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- B.Sc
- Master's degree
5d
Staff Software Engineer - Backend
Tekion —Bengaluru, Karnataka
- Computer Science
- System design
- Java
Staff Lead Engineer
Eightfold.AI —Bengaluru, Karnataka
- Hybrid work
- Doctoral degree
- Java
- AWS
- Health insurance

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Staff Machine Learning Engineer

Palo Alto Networks -
Bengaluru, Karnataka

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Job details

Full-time
3 days ago

Qualifications

Kotlin
Azure
Node.js
Computer Science
React
Kubernetes
Java
Master's degree
Databases
AWS
Docker
Bachelor's degree
Machine learning
Distributed systems
APIs
Scalability
AI
Communication skills
Python
Marketing

Full job description

Bangalore, Karnātaka, India Product Engineering Ref ID: JR-021846

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Your Responsibilities

Build AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases
Integrate LLMs, tools, APIs, business rules, and data into production workflows
Build scalable full-stack solutions across React, APIs, backend services, and data pipelines
Design and implement cloud-native, event-driven distributed systems
Own technical initiatives from design through production
Contribute to architecture, code reviews, testing, observability, and reliability
Simplify integrations and automate manual marketing processes
Collaborate with product managers, engineers, and cross-functional teams

Qualifications

Your Experience

Required

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
3–5 years of software engineering experience
Strong hands-on experience with Java, Kotlin, Python, or Node.js
Experience building production applications using LLMs, prompt engineering, or tool calling
Experience with React or modern frontend frameworks
Experience with AWS, Azure, or GCP
Experience with Docker, Kubernetes, and distributed systems
Understanding of event-driven architectures, APIs, messaging, and data pipelines
Strong problem-solving, ownership, and communication skills

Preferred

Experience building AI agents or agent-based workflows
Experience with RAG, embeddings, vector databases, or semantic search
Experience applying AI to marketing, sales, or GTM workflows
Understanding of enterprise security, privacy, and data governance
Experience improving system scalability, reliability, or developer productivity

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Apply Now

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staff machine learning engineer jobs in kanakapura road karnataka

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