Experience:

• 1 to 2 year hands-on in AI/ML

Responsibilities:

• design, build, and deploy ML models to production
• fine-tune LLMs for text-generation tasks
• work on voice-to-text and synthesis
• build and maintain pipelines under load
• run experiments, tune, and ship modules end to end

Additional responsibilities:

• own your modules end to end

Nice to have:

• NLP
• computer vision
• deep learning
• Docker
• Kubernetes
• SQL
• CI/CD for ML
• solution architect’s instinct
• designing for scale, cost, and failure
• choosing trade-offs between speed, reliability, and simplicity
• translating fuzzy business needs into clean technical architecture

More skills:

voice & audio models, production ML pipelines, regression, decision trees, clustering, basic statistics, probability, AI-native tools, Cursor, Copilot, AI-assisted testing/debugging, data cleaning, data visualization, cloud deployment, Azure

Other:

• full time position
• health cover up to ₹4L for whole family including parents
• flexible hours and location
• auto-approved vacations on team consensus
• self-managed career growth
• yearly performance-based pay revision
• flat, bias-free, playful culture
• project and company bonuses
• real ownership of org-level work