Machine Learning Engineer

About the job

Role Description We are seeking an experienced Machine Learning Engineer to join our team and drive the development of production-grade AI systems. This role requires deep expertise in Retrieval-Augmented Generation (RAG), natural language to SQL conversion, and large language model fine-tuning. Key Responsibilities -- Design and implement production-ready RAG pipelines for knowledge-intensive applications -- Build and optimize text-to-SQL engines that translate natural language queries into executable SQL code -- Develop, train, and fine-tune smaller language models for specific domain applications -- Fine-tune large language models (LLMs) using various techniques including supervised fine-tuning, RLHF, and parameter-efficient methods -- Deploy and maintain ML models in production environments with monitoring, versioning, and continuous improvement -- Optimize model performance, latency, and cost for real-world applications -- Collaborate with cross-functional teams to integrate ML capabilities into products -- Establish best practices for ML ops, model evaluation, and deployment pipelines -- Stay current with latest developments in LLMs, RAG architectures, and ML tooling

Requirements

• Machine Learning
• Python
• Deep Learning
• Natural Language Processing
• AI Infrastructure

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning or related field

Preferred Technologies

• Machine Learning
• Python
• Deep Learning
• Natural Language Processing
• AI Infrastructure

About the company

Satark AI is an emerging cybersecurity startup headquartered in Gift City Gandhinagar, India, building the world’s first Autonomous Cyber Leadership Infrastructure. Satark AI is an AI-powered autonomous cyber intelligence platform that transforms scattered security alerts into clear, context-driven business risk decisions.