Build the Future of Generative AI with goML
At goML, we’re building the next generation of Machine Learning platforms and Generative AI services that solve real-world enterprise problems. We work at the intersection of cutting-edge research and production-grade engineering—turning ideas into scalable, impactful AI systems.
We’re looking for a AI / Machine Learning Engineer to join our core team of young hustlers. In this role, you’ll design, build, and productionize GenAI systems—from model training and fine-tuning to deployment and monitoring. If you’re excited about shaping how AI is built, scaled, and delivered, this is the place for you.

Why You? Why Now?
Generative AI is moving fast—from experimentation to enterprise adoption. We need engineers who can bridge research and production, build reliable ML pipelines, and turn GenAI breakthroughs into real business outcomes. This role is perfect for someone who enjoys ownership, experimentation, and solving complex problems end to end.

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Immersion




Understand goML’s ML and GenAI platforms, use cases, and architecture
Get familiar with existing training, inference, and deployment pipelines
Study current approaches to RAG, LLM fine-tuning, and model evaluation
Collaborate with senior engineers and product teams to understand business problems

First 60 Days: Build & Experiment
Design and develop Generative AI solutions using techniques like RAG, transformers, and LLM-based architectures
Fine-tune pre-trained LLMs for domain-specific and task-specific use cases
Build and maintain data pipelines for training and inference workflows
Apply robust software engineering practices to ML and GenAI pipelines
Evaluate, analyze, and benchmark model performance and quality
Develop and deploy proof-of-concept GenAI systems

First 180 Days: Ownership & Scale
Own end-to-end ML/GenAI pipelines—from training to production deployment
Implement model optimization and compre

📌 AI Engineer (India)
🏢 goML
📍 India