Poppulo Graduate Machine Learning Engineer Hiring 2026 in Bengaluru – Freshers Opportunity in AI, GenAI & Real-World ML Product Development

Poppulo is hiring for the role of Graduate Machine Learning Engineer in Bengaluru, India. This is a high-quality fresher opportunity where you will work on real AI products, GenAI solutions, and production-level machine learning systems, not just basic models or academic tasks.

Job Overview

  • Company: Poppulo
  • Position: Graduate Machine Learning Engineer
  • Qualification: Bachelor’s / Master’s Degree
  • Experience: Freshers / Early Career
  • Location: Bengaluru, India
  • Job Type: Full-Time
  • Domain: Machine Learning / AI / Generative AI

About the Role

This role is focused on building real AI-powered products that are used by enterprises globally. Poppulo works on communication and workplace technology platforms used by thousands of organizations and millions of users.

As a Graduate ML Engineer, you will not just experiment — you will convert ideas into working AI solutions. The role involves working with real datasets, production systems, and modern frameworks.

You will collaborate with experienced AI engineers and architects, gaining exposure to both research and real-world implementation.

Role Overview

  • Build AI/ML and GenAI solutions
  • Work with real datasets and models
  • Develop proof of concepts for product ideas
  • Optimize models and system performance
  • Collaborate with product and engineering teams
  • Translate AI ideas into real applications
  • Stay updated with latest AI trends

Key Responsibilities

  • Design and develop AI-powered products aligned with product roadmap
  • Build machine learning and GenAI solutions using existing frameworks
  • Create proof-of-concepts to validate AI solutions quickly
  • Optimize model performance for training and inference
  • Translate new technologies like GenAI into practical applications
  • Collaborate with cross-functional teams to implement solutions
  • Stay updated with latest trends in AI and machine learning

Required Skills

  • Basic understanding of machine learning concepts
  • Strong programming skills in Python
  • Familiarity with ML frameworks like PyTorch or TensorFlow
  • Interest in Generative AI (GenAI tools, LLMs, etc.)
  • Problem-solving and analytical thinking
  • Ability to learn new tools and technologies quickly

Eligibility Criteria

  • Bachelor’s / Master’s Degree in Computer Science, AI, ML, Data Science, or related field
  • Freshers can apply
  • Academic projects, internships, or ML experience preferred
  • Understanding of software development lifecycle is a plus

Work Environment

You will be working in a fast-growing product company environment where innovation and execution go together. The team focuses on building scalable AI solutions used at enterprise level.

The environment encourages:

  • Experimentation with new AI technologies
  • Collaboration with experienced engineers
  • Learning through real product development

This is not a slow or training-only role — it is a hands-on engineering environment.

Career Growth Opportunities

  • Move into Machine Learning Engineer roles
  • Specialize in Generative AI and LLMs
  • Grow into AI Product Engineer or Research roles
  • Work on large-scale enterprise AI systems
  • Build long-term career in AI and advanced technologies

Why Join Poppulo

  • Work on real AI and GenAI products
  • Exposure to production-level ML systems
  • Strong learning environment for freshers
  • Opportunity to work with experienced AI teams
  • Product-based company experience

Final Insight

This is not a basic “ML internship type” role.

It is:

  • A product-focused AI engineering role
  • Where you build real solutions, not just models

If you are serious about AI and want to work on GenAI + real applications, this is a strong opportunity.

How to Apply

Apply link below apply there

  • Visit the official Poppulo careers page using the link below
  • Open the Graduate Machine Learning Engineer role
  • Read the job description carefully
  • Click on apply
  • Fill in your details
  • Upload your resume
  • Submit your application
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