Machine Learning Engineer

Ovii's Interpretation of the Role

We’re seeking a Machine Learning Engineer to build and scale Generative AI models that power our customer support automation platform. You’ll design end‑to‑end pipelines, integrate AI into product features, and keep our solutions at the forefront of the CX industry.

Role Snapshot

• Develop and deploy Generative AI models
• Design scalable ML pipelines
• Collaborate with product and engineering teams
• Evaluate and improve model performance
• Research cutting‑edge Generative AI techniques
• Work in a fast‑paced SaaS environment

Must-Have Requirements

• Python programming
• AI frameworks (TensorFlow, PyTorch, etc.)
• hands‑on ML model development and deployment
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field

Nice-to-Have Signals

• Cloud platforms (AWS, Azure, GCP) for scalable AI solutions
• Generative AI product development experience
• building Generative AI products
• cloud deployment of AI solutions

Work Setup

• Location: Bengaluru, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Notice period
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Develop, train, and deploy Generative AI models that enhance customer experience
• Build and maintain end‑to‑end ML pipelines for large‑scale data ingestion, training, and serving
• Partner with product managers and engineering to define requirements and embed AI capabilities into the SaaS platform
• Monitor model performance, conduct evaluations, and iterate to meet business objectives
• Research and apply the latest Generative AI techniques and tools to keep the product cutting edge
• Leverage cloud services (AWS, Azure, GCP) to scale AI solutions where needed

Good Fit If You Have

• Graduated from a tier‑1 or tier‑2 engineering college
• Hands‑on experience building Generative AI products is a plus
• Familiarity with AI frameworks such as TensorFlow or PyTorch
• Experience deploying models on cloud platforms (AWS, Azure, GCP) is advantageous
• Thrives in a dynamic, fast‑moving SaaS environment