Kapture CX
2 months ago
About Company :
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 mee tup with all the endless demands of customers.
Kapture is the preferred choice of leading brands including Nykaa, 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 an dFlorida.
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 (GenAI)
Location : Bengaluru, Karnataka
Job Type : Full-time
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 or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- At least 1.5 years of hands-on experience in developing and deploying machine learning models (Experience in building GenAI products or models will be a plus)
- Proficient in programming with Python and 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.
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