Kapture CX - Machine Learning / AI Lead

Bengaluru, IN Until 8/22/2026 8+ years exp First posted April 20, 2026 Last posted April 20, 2026
Job description

You have 8+ years of hands-on experience building and deploying ML or deep learning models, with

experience leading or mentoring teams

You hold a Bachelor’s or Master’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, technical leadership, and cross-team collaboration skills

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 deep understanding of transformers, LLMs, attention mechanisms, and GenAI

training pipelines

You have hands-on experience with model optimization, GPU acceleration, and inference

frameworks

You can train, fine-tune, evaluate, and productionize large-scale deep learning and GenAI models

You will have an advantage if you:

Have worked with vLLM, Triton, TensorRT, or similar high-performance inference systems

Have experience building or integrating ASR (speech-to-text) and TTS (text-to-speech) systems

Have hands-on exposure to multimodal architectures involving vision, language, and audio

Have deployed ML models on AWS, GCP, or Azure

About this role

Summary

Lead ML/AI teams, build and deploy deep learning models, optimize performance, and collaborate across teams.

Job title

Kapture CX - Machine Learning / AI Lead

Experience level

8+ years

Minimum experience

8+ years exp

Industry

software

Location requirements

Bengaluru, IN; on-site work only

Salary

Not specified

Management role

Yes

Skills & keywords

Required skills

pythonpytorchtensorflowjaxtransformersLLMsattention mechanismstraining pipelinesmodel optimizationGPU accelerationinference

Preferred skills

vLLMTritonTensorRTASRTTSmultimodal architecturesAWSGCPAzure

Specializations

machine learningdeep learningAItransformerslarge language models
Locations

Structured locations inferred from the posting.

Bengaluru, Karnataka, India

On-site City