Software Engineer

About this role

About the role: - You will own projects end-to-end, taking responsibility for delivery and quality without constant oversight - Your work spans the full software development lifecycle, from architecture and implementation through testing and deployment - You'll collaborate with ML and infrastructure teams to integrate machine learning capabilities into production systems What you'll work on: - Building and maintaining scalable backend services and data pipelines - Setting up and managing ML workflows, including data preparation, model training, and evaluation infrastructure - Deploying and monitoring applications using containerization and cloud platforms - Creating user-facing features and interfaces when needed What we're looking for: - A recent graduate with a BTech, MTech, or MS in Computer Science or a closely related discipline - Solid grasp of core software engineering principles and best practices - Comfort learning new tools and shifting priorities as project needs evolve - Practical familiarity with how ML systems work—datasets, training pipelines, evaluation metrics, and the platforms that support them - Ability to work with minimal guidance and drive your own projects forward Bonuses: - Experience with GCP, AWS, or Azure - Knowledge of Docker or foundational DevOps practices - Hands-on work with PyTorch or similar ML frameworks - Previous work building web frontends with Next.js, React, or Webflow - Time spent at an early-stage company or startup