Senior Machine Learning Engineer

About Company :

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.

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.

Position Overview

Job Title: Senior Machine Learning Engineer (GenAI)

Location: Bengaluru, Karnataka

Job Type: Full-time

Experience : 6+

Role Summary

As a Senior Machine Learning Engineer you will be involved in developing and optimizing Generative AI models and solutions that enhance our offerings. This role requires a blend of technical expertise and abstract thinking to build AI-driven solutions for CX industry that are not only innovative but also scalable and impactful.

Responsibilities:

• Develop and deploy Generative AI models, LLMs, and Transformer-based architectures to build AI-driven customer experience products.
• Design and implement machine learning pipelines for large-scale data processing, model training, validation, and deployment.
• Work with vLLM, Triton, TensorRT, and other high-performance inference frameworks to optimize model serving and reduce latency.
• Build and integrate audio and image encoder models, multimodal models, and vision/language components.
• Develop and maintain speech-to-text (ASR) and text-to-speech (TTS) systems for voice-enabled applications.
• Train, fine-tune, and evaluate ML and GenAI models using best practices in deep learning, data preparation, and model optimization.
• Monitor, analyze, and improve model performance to meet business KPIs and product requirements.
• Research and implement the latest techniques in Generative AI, deep learning, multimodal AI, and advanced ML architectures.
• Collaborate closely with product, engineering, and data teams to convert business needs into scalable AI solutions.

Qualifications:

• Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 6+ years of hands-on experience building and deploying machine learning or deep learning models (GenAI experience preferred).
• Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX.
• Solid understanding of Transformers, LLMs, attention mechanisms, and model training pipelines.
• Experience with vLLM, Triton, TensorRT, GPU acceleration, and model optimization techniques.
• Practical experience with audio encoders, image encoders, vision transformers, and multimodal architectures.
• Experience building or integrating ASR (speech-to-text) and TTS (text-to-speech) models.
• Hands-on experience with training, fine-tuning, and evaluating large deep learning models.
• Knowledge of AWS, GCP, or Azure for cloud-based model deployment (preferred).
• Strong analytical, problem-solving, and teamwork skills with the ability to work in fast-paced environments.