At go ML, 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 Senior AI / Machine Learning Engineer to join our core team of young hustlers. In this role, you'll design, build, and productionize Gen AI 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 Gen AI 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 go ML's ML and Gen AI 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 solid software engineering practices to ML and Gen AI pipelines Evaluate, analyze, and benchmark model performance and quality Develop and deploy proof-of-concept Gen AI systems First 180 Days: Ownership & Scale
Own end-to-end ML/Gen AI pipelines—from training to production deployment Implement model optimi
📌 Ai Engineer (Madhya Pradesh)
🏢 goML
📍 Madhya Pradesh
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