AI/ML & DevOps Engineer
# AI/ML & DevOps Engineer **Bargad** · Vikhroli, Mumbai, Maharashtra · `On-site` 🕒 **Статус:** *Опубликовано: 10 дней назад* · *Источник: Indeed* --- ### About the Role Bargad.ai is an advanced AI and Machine Learning (ML) based solution designed to detect and prevent identity fraud. It is a smart and flexible platform built for industries including Banking & Financial Services (BFSI), Social Media, Gaming, and E-Commerce. We are looking for an AI/ML & DevOps Enginee r who can develop AI-enabled applications as well as deploy and manage applications on servers. The candidate will work across AI/ML development, RAG-based chatbots, backend applications, server deployment and client deployments. This role is suitable for a person who enjoys both development and deployment and can take ownership of an application from development to production. Job Title: AI/ML & DevOps Engineer Location: Mumbai (Vikhroli) Employment Type: Full-Time Experience: 1+ year Working Mode: Work from Office Time: 10:00 am to 7:00 pm (Mon - Sat) Company name: Bargad.ai Key Responsibilities: - Develop applications based on business and product requirements. - Build AI/ML-enabled applications and solutions. - Develop and customize RAG-based chatbots and LLM applications. - Build chatbot features such as login, chat, document upload and knowledge base management. - Work with PDF, TXT, Excel and other documents for AI knowledge bases. - Develop and manage RAG pipelines, embeddings and vector databases. - Integrate LLMs, AI models, APIs and third-party services. - Develop backend APIs required for AI and other applications. - Deploy applications on Bargad's servers. - Deploy applications and AI solutions in client environments. - Manage Linux-based servers and application environments. - Configure applications, dependencies, domains, SSL and environment variables. - Manage Docker containers and application services. - Monitor applications and server performance. - Troubleshoot application, server and deployment issues. - Work with other developers to deploy their applications on Bargad servers. - Manage application releases, updates and production deployments. - Support client technical deployments and resolve deployment-related issues. - Participate in client technical discussions related to application architecture, AI/ML, deployment and technology. - Understand technical requirements discussed with clients and provide technical support to the Product/Technology team. - Maintain technical documentation for applications, AI solutions and deployments. Requirements: - Strong knowledge of Python. - Good understanding of AI/ML and Generative AI. - Hands-on experience with LLMs and RAG-based applications. - Knowledge of embeddings and vector databases. - Experience with REST APIs and backend development. - Good knowledge of Linux and server management. - Hands-on experience with Docker and application deployment. - Experience with Nginx or similar web servers. - Good understanding of networking, DNS, SSL and HTTP/HTTPS. - Experience with Git/GitHub. - Knowledge of PostgreSQL or other databases. - Good debugging and troubleshooting skills. - Ability to independently take an application from development to deployment. - Good communication and teamwork skills. - Ability to work in a fast-paced startup environment. Good to know: - Experience with Llama Index or similar RAG frameworks. - Experience with CI/CD tools such as GitHub Actions or Jenkins. - Experience managing VPS, dedicated servers or cloud environments. - Experience deploying AI/ML applications in production. - Experience working with enterprise or BFSI applications is an advantage. - Experience participating in client technical discussions is an advantage. - Candidates based in Mumbai are preferred/eligible to apply. Pay: ₹40,000.00 - ₹50,000.00 per month Benefits: - Paid sick time Application Question(s): - Where are you from ? (Mention your nearest railway station) - What Qualification you have. Explain us in detail Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-26, источник — Indeed.