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Tier-1 brand, metro Bangalore location, and broad generalist ML+fullstack+infrastructure requirements.
High due to specialized SLM, inference pipeline, and integrated systems engineering expertise required.
Multiple mandatory filters: 7+ years, specific ML, frontend, backend, and infrastructure technologies required.
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Design, develop, and optimize domain-specific small language models for enterprise applications with focus on accuracy, performance, and low-latency inference.
Build and maintain modern, responsive, high-performance operations platforms and scalable RESTful APIs with robust backend services and database management.
Ensure high availability, fault tolerance, security, and monitoring of server-side applications integrating third-party APIs and infrastructure automation.
Bachelor’s or Master’s degree with 7+ years total experience.
Strong skills in Python, React.js, NodeJS, NextJS, HTML5, CSS3, JavaScript (ES6+), modern frameworks (Tailwind, SCSS).
Experience with API design, data modeling, relational/NoSQL databases (PostgreSQL, MySQL, MongoDB), CI/CD pipelines, and monitoring tools (Prometheus, Grafana).
Proficiency in infrastructure automation tools such as Ansible and Terraform, plus shell scripting.
Senior engineer with interdisciplinary skills spanning AI model fine-tuning, frontend/backend development, cloud infrastructure, and automation.
Experienced in building scalable, secure, and high-availability enterprise applications integrating AI and modern web technologies.
Comfortable working in hybrid setup with practical knowledge of configuration management, containerization (Docker), and message brokers (RabbitMQ, Kafka).