Senior Multi Stack Developer AI/ML (AQ46T RM 3074)

4 - 8 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As a Senior Multi Stack Developer specializing in AI/ML, you will be expected to have a strong grasp of various technologies such as Java Backend, Microservices, Springboot, Frontend frameworks like NodeJS, ReactJS, Angular, Azure DevOps (Pipelines + Kubernetes), and database experience with SQL (RDBMS + No SQL). Additionally, experience with Docker and a basic understanding or exposure to AI/ML concepts is preferred for this role. Your primary role will involve working on end-to-end application design, development, and deployment. You should be proficient in Java, Python, .NET technologies, and modern front-end frameworks such as React, Vue.js, Angular, and Node.js. Strong database management skills with both RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL (MongoDB, Firebase, Cassandra) databases are essential for this position. Key responsibilities include full-stack development where you will build and maintain scalable backend solutions using Java, Python, or .NET Core, implement RESTful APIs, GraphQL endpoints, and microservices-based architectures. You will also be involved in database management, AI/ML technologies, and developing web, mobile, and stand-alone applications. Your expertise will be crucial in deploying and managing applications in cloud environments such as AWS, Azure, and GCP, implementing CI/CD pipelines for automated testing and deployment, and ensuring application security and best practices. You will also work on AI-driven applications, integrating Large Language Models (LLMs) like DeepSeek, OpenAI, Llama, Mistral, Claude, and develop intelligent features leveraging NLP and AI. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science or Engineering, have at least 5 years of experience in full-stack development with Java, Spring Boot, Python, or .NET, and possess self-acquired experience with AI/ML stacks, TensorFlow, and LLMs. Strong communication skills, a passion for technology and innovation, and the ability to work collaboratively in a team environment are key attributes required for this role.,

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