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Kapture CX

Senior Machine Learning Engineer

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  • Posted 15 hours ago
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Job Description

At Kapture CX, we are looking for a Senior Machine Learning Engineer (GenAI) in our Engineering / AI team.

Who are we

Kapture CX is a leading SaaS platform that helps enterprises automate and elevate customer experience through intelligent, AI-powered solutions. We partner with enterprises across industries to bring scalable automation and insight-driven efficiencies to their CX operations. Over a thousand clients across 18 countries have used Kapture's products to enhance their customer experience, including Unilever, Reliance, Coca-Cola, Bigbasket, Meesho, Airtel Payments Bank and Cathay Pacific.

Kapture delivers industry-specific solutions powered by AI, tailored workflows, and seamless automation.

Kapture CX is headquartered in Bangalore and we have offices in Mumbai and Delhi/NCR in India, in addition to offices in the USA, UAE, Singapore, Philippines and Indonesia.

What is this role all about

This role puts you at the heart of building next-generation GenAI solutions that power real-world customer experience products. You'll work on large-scale, high-impact AI systems ranging from LLMs and multimodal models to voice and vision while solving complex problems at scale.

If you enjoy pushing the boundaries of applied GenAI and seeing your work directly influence enterprise products, this role is for you.

Sounds interesting

Here's a more detailed description of what you will do in this role:

  • You will design, build, and deploy Generative AI models, LLMs, and transformer-based architectures for CX-focused products
  • You will create scalable ML pipelines for data processing, training, evaluation, and production deployment
  • You will optimize model inference using frameworks like vLLM, Triton, and TensorRT to improve performance and reduce latency
  • You will work on multimodal AI systems, including audio, image encoders, vision-language models, ASR, and TTS
  • You will collaborate closely with product, engineering, and data teams to translate business needs into robust AI solutions

This is a Bengaluru-based role.

We work five days a week from the office, as we believe in-person interactions fuel innovation and agility.

What does success look like in this role

You successfully ship scalable GenAI solutions that meet product goals, improve customer experience metrics, and perform reliably in production at enterprise scale.

What would make you a good fit for this role

Here are the basic requirements:

  • You have 6+ years of hands-on experience building and deploying ML or deep learning models
  • You hold a Bachelor's degree in Computer Science, AI, Data Science, or a related field
  • You are comfortable working in fast-paced, product-driven environments
  • You bring strong problem-solving skills and collaborate well across teams

What are the most critical skills for this role

  • You have strong programming skills in Python and experience with PyTorch, TensorFlow, or JAX
  • You have a solid understanding of transformers, LLMs, attention mechanisms, and training pipelines
  • You have hands-on experience with model optimization, GPU acceleration, and inference frameworks
  • You can train, fine-tune, and evaluate large deep learning and GenAI models

You will have an advantage if you:

  • You have worked with vLLM, Triton, TensorRT, or similar high-performance inference systems
  • You have experience building or integrating ASR (speech-to-text) and TTS (text-to-speech) systems
  • You have hands-on exposure to multimodal architectures involving vision, language, and audio
  • You have deployed ML models on AWS, GCP, or Azure

Why should you be interested

Here's what you will gain from this role:

  • Ownership of high-impact GenAI systems used by global enterprise customers
  • Exposure to cutting-edge AI research applied to real-world CX problems
  • The opportunity to work on large-scale, production-grade AI systems
  • A collaborative environment that values innovation, learning, and technical depth

Does this sound like you

Click the Apply button to let us know!

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About Company

Job ID: 137433915

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