Machine Learning Engineer

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 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.