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Jobs / Machine Learning Engineer in India
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Ericsson·Telecom·13 hours ago
13 hours agoBe an early applicant

Senior AI-ML Engineer

Bengaluru, IndiaOn-siteSenior · 7-10 yearsMachine Learning Engineer

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Must-have skills for this role

  • python
  • machine learning
  • generative ai
  • mlops

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Design and develop AI/ML capabilities for Ericsson products, including intelligent automation, operational analytics and GenAI-powered solutions.
  • Apply AI to improve software engineering productivity through automation, knowledge management and developer-assistance solutions.
  • Drive innovation from concept through deployment, transforming research ideas into production-ready capabilities.
  • Provide technical leadership in AI/ML, influencing product strategy, architecture and technology direction.
  • Collaborate with product management, architects and engineering teams to identify and realise AI-driven business opportunities.

What they're looking for

  • Experience 7 to 10 Years.
  • Strong software engineering experience, preferably in Python and cloud-native environments.
  • Solid understanding of Machine Learning, Generative AI and data-driven systems.
  • Experience building scalable applications, APIs and distributed systems.
  • Strong analytical and problem-solving skills with the ability to handle ambiguous challenges.
  • Excellent communication, collaboration and technical leadership skills.
  • Statistical Machine Learning and Predictive Analytics
  • Application of Generative AI and Agentic Systems
  • Knowledge Management, Search and RAG
  • Intelligent Automation and Developer Productivity
  • Cloud-native Platforms and MLOps

Nice to have

  • Familiarity with AI evaluation, safety and reliability techniques.
  • Experience with vector databases and semantic search technologies.
  • Exposure to Kubernetes, cloud platforms and modern AI tooling.
  • Knowledge of telecom networks, OSS/BSS or network management systems.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Join our Team

About this opportunity:

 

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

We believe in trust – we trust each other to do the right things. Therefore, we believe in taking decisions as close to the product and technical expertise as possible!

We truly believe in happiness, we enjoy and feel passionate about what we do and value each other’s technical competence deeply!

 

You will do:

 

  • Design and develop AI/ML capabilities for Ericsson products, including intelligent automation, operational analytics and GenAI-powered solutions.
  • Apply AI to improve software engineering productivity through automation, knowledge management and developer-assistance solutions.
  • Drive innovation from concept through deployment, transforming research ideas into production-ready capabilities.
  • Provide technical leadership in AI/ML, influencing product strategy, architecture and technology direction.
  • Collaborate with product management, architects and engineering teams to identify and realise AI-driven business opportunities.

 

You will bring:

 

  • Experience 7 to 10 Years.
  • Strong software engineering experience, preferably in Python and cloud-native environments.
  • Solid understanding of Machine Learning, Generative AI and data-driven systems.
  • Experience building scalable applications, APIs and distributed systems.
  • Strong analytical and problem-solving skills with the ability to handle ambiguous challenges.
  • Excellent communication, collaboration and technical leadership skills.

 

Skill Competence Area:

 

  • Statistical Machine Learning and Predictive Analytics
  • Application of Generative AI and Agentic Systems
  • Knowledge Management, Search and RAG
  • Intelligent Automation and Developer Productivity
  • Cloud-native Platforms and MLOps

 

Nice to have:

 

  • Familiarity with AI evaluation, safety and reliability techniques.
  • Experience with vector databases and semantic search technologies.
  • Exposure to Kubernetes, cloud platforms and modern AI tooling.
  • Knowledge of telecom networks, OSS/BSS or network management systems.

*

“All academic credentials must be from recognized and accredited institutions and are further subject to verification.”

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

 

Primary country and city: India (IN) || Bangalore

Req ID: 790188  

Telecom

Company

EricssonTelecom
Bengaluru, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Ericsson's careers site·first seen 23 Sept 2026·last verified 23 Sept 2026·How we source jobs

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