Full Stack Engineer (Python + JS + GenAI)

As a Software Engineer at one of the world's leading jewelry brands, you will design, develop, and deploy intelligent software solutions that bring advanced AI models to life. Working at the intersection of cloud engineering, machine learning, and product development, you will help transform cutting-edge AI concepts into robust, scalable applications with real-world impact.

We're looking for someone who combines deep technical expertise with a pragmatic approach to shipping high-quality software, thrives in fast-paced environments, and is passionate about turning innovation into production-ready tools.

Responsibilities

• Design, develop, and maintain full-stack applications integrating AI/ML models and services.
• Collaborate with cross-functional teams to productize AI solutions using Azure.
• Build and manage CI/CD pipelines for deployment, testing, and monitoring of AI-enabled applications.
• Leverage Azure services (Azure Functions, Azure App Services, Azure ML, Cosmos DB, etc.) to develop scalable, secure, and resilient systems.
• Ensure performance, availability, and maintainability of solutions in production.
• Participate in code reviews and architecture discussions to enforce engineering best practices.
• Stay current with industry trends and contribute to the continuous improvement of development processes.
• Partner with data scientists, machine learning engineers, frontend engineers, and MLOps to identify relevant data and deliver robust models.

Skills Required

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 3-6 years of experience as a Full-Stack Software Engineer.
• Experience in deploying machine learning models in production settings is a plus.
• The retail industry or e-commerce is highly desirable.

Technical Skills:

• Proven expertise in authentication, Azure cloud ecosystem and deploying production-grade applications,
• Proficient with web frameworks and languages such as JavaScript, React, Next JS, Node.js, or Python.
• Good understanding of AI/ML model deployment and integration in real-world environments.
• Experience building APIs, microservices, and working with containers (Docker, Kubernetes).
• Proficiency in SQL and experience with data manipulation and querying.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience in ML systems design, development and deployment using Software Development Lifecycle applied to Machine Learning is a plus

Soft Skills:

• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to translate complex data insights into actionable business strategies.
• A proactive approach to learning and innovation, with a commitment to staying ahead in the field of data science.
• Fantastic team player and collaborator.