Machine Learning Engineer

We are seeking a Software Engineer who can operate as a technical architect while remaining deeply hands-on , someone who thrives on using modern AI-powered tools to build things faster without compromising on scalability, maintainability, or design quality.

Responsibilities

• Design and define scalable software architecture and design patterns for React-based frontend applications and Python-based backend services
• Act as a technical architect for projects, ensuring solutions are robust, maintainable, and built for long-term scalability on cloud platforms (e.g., AWS, Azure, or GCP)
• Identify, evaluate, and adopt AI-powered development tools to accelerate the software development lifecycle
• Build rapid prototypes and production-grade applications by leveraging AI coding assistants and automation tools alongside React and Python
• Architect and implement cloud-native solutions, including microservices, serverless functions, containerization (Docker/Kubernetes), and CI/CD pipelines
• Stay current with the latest advancements in AI and evaluate how emerging capabilities can be applied to improve engineering efficiency
• Collaborate with cross-functional teams to translate business requirements into scalable technical designs
• Establish best practices and reusable design patterns that enable faster, AI-assisted development across the team
• Mentor and guide other engineers on effectively integrating AI tools into their React/Python/cloud development workflows
• Continuously optimize development processes and cloud infrastructure to balance speed, quality, cost, and scalability

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• Proven experience as a software engineer or architect, with strong system design and architecture skills
• Strong hands-on proficiency in React (or similar modern JavaScript frameworks) for frontend development
• Strong hands-on proficiency in Python for backend development, including frameworks like Django, Flask, or FastAPI
• Solid experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architecture, including containerization and serverless computing
• Hands-on experience with AI-powered development tools (e.g., AI coding assistants, code generation tools, automation frameworks)
• Deep understanding of scalable architecture principles, design patterns, and best practices
• Genuine passion for staying up to date with advancements in AI and applying them practically to engineering challenges
• Experience with CI/CD pipelines, DevOps practices, and infrastructure-as-code (e.g., Terraform, CloudFormation) is a plus
• Strong problem-solving skills with the ability to move quickly from concept to working solution
• Excellent collaboration and communication skills to work effectively across teams
• Experience mentoring engineers or leading technical initiatives is a plus