Machine Learning Engineer

Kapture; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Kapture CX, a cloud-based customer support automation platform, is hiring a Machine Learning Engineer in India. You will develop and deploy Generative AI models to enhance CX offerings, collaborating with product and engineering teams to align AI with business needs.

The role requires 1.5–3 years of hands-on ML experience, strong Python skills, and familiarity with TensorFlow/PyTorch, plus cloud deployment knowledge on AWS/Azure/GCP.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field from tier 1 & tier 2 colleges.
• At least 1.5 years of hands-on experience in developing and deploying ML models (Gen AI experience a plus).
• Proficient in Python; familiar with TensorFlow, PyTorch, and other frameworks.
• Experience with cloud services (AWS, Azure, GCP) for deploying scalable AI solutions (preferred).

Responsibilities

• Develop and deploy Generative AI solutions and models to enhance customer experiences.
• Collaborate with product managers and engineering teams to define requirements and integrate AI.
• Design and implement ML pipelines for large-scale data processing, training, and deployment.
• Evaluate model performance and refine to meet business objectives and improve user experiences.
• Research and implement the latest Generative AI techniques to keep solutions cutting edge.

Skills

Python

Generative AI

Education

Bachelor's in CS/AI/DS

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Kapture CX is an Enterprise-grade SaaS-based Customer Support Automation platform that provides businesses across industries with all-in-one customer service software. It's a cloud CRM that’s more than just a help desk designed to meet the needs of any industry. At Kapture, we believe that daily Customer operations should be made simple and efficient to meet up with all the endless demands of customers. Kapture is the preferred choice of leading brands including Meesho, Bigbasket, Unilever, Zepto, Ajio, Netmeds,Jio, Phillips, Prestige and many others to build a world-class customer support ecosystem. Kapture Cx is headquartered in Bangalore and we have offices in Mumbai, Delhi/NCR and Florida. Our channel Partner network spans across 12 countries and powers 1000+ businesses globally to automate their sales and support.

Position Overview

Job Title: Machine Learning Engineer

Job Type: Full-time

Experience : 1.5- 3 years

Role Summary

As a 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:

• Development and deployment of Generative AI solutions and models to create innovative products for enhancing customer experiences.
• Collaborate with product managers and engineering teams to define product requirements and integrate AI technologies into our service offerings.
• Design and implement machine learning pipelines for large-scale data processing, model training, and deployment.
• Continuously evaluate the performance of AI models and refine them to ensure they meet business objectives and deliver enhanced user experiences.
• Research and implement the latest Generative AI techniques and tools to keep our solutions at the cutting edge of technology.

Qualifications:

• Bachelor’s in Computer Science, Artificial Intelligence, Data Science, or a related field from tier 1 & tier 2 colleges
• At least 1.5 years of hands‑on experience in developing and deploying machine learning models (Experience in building Gen AI products or models will be a plus)
• Proficient in programming with Pythonand familiar with AI frameworks such as TensorFlow, PyTorch, and others.
• Demonstrable experience with cloud services (AWS, Azure, GCP) for deploying scalable AI solutions.(Preferred but not mandatory)
• Strong analytical skills and the ability to work collaboratively in a dynamic and fast-paced environment.