Junior ML Engineer (Computer Vision)

· Drive research & innovation
Stay abreast of the latest academic and industry advances in computer vision, like - object detection, segmentation, visual-language models, reasoning, OCR, video processing etc.—evaluate and integrate promising new techniques.

· Prototype and validate new models
Rapidly develop proof-of-concepts, run thorough A/B experiments, and establish robust evaluation benchmarks to de-risk technology choices before production.

· Optimize for production at scale
Lead efforts to compress, quantize, and accelerate models for cloud GPUs/TPUs and edge devices; integrate with CI/CD, automated testing, and containerized MLOps frameworks.

· Mentor and coach engineers
Provide technical leadership through code reviews, design reviews, brown-bag talks, and best-practice guidelines; help mid- and junior-level engineers grow their CV expertise and career.

· Collaborate cross-functionally
Work closely with product engineering teams, solution delivery, customer success and end customers to translate business requirements into technical specs, ensure data quality and availability, and deliver features that solve real customer safety-compliance problems.

· Define and enforce coding standards
Establish style guides, testing protocols, performance budgets, and documentation standards for CV projects; champion reproducibility and clean, well-documented code.

· Lead technical architecture decisions
Evaluate and select frameworks, libraries, annotation tools, and compute infrastructure; balance trade-offs between flexibility, performance, and cost.

· Monitor and improve model performance
Set up monitoring dashboards and alerting for model drift, accuracy regressions, and runtime failures; spearhead root-cause analyses and continuous retraining strategies.

Requirements

Benefits

• Flexible Working Hours
  
• Health Insurance
  
• Accidental Insurance
  
• Subsidized Food Options
  
• Unlimited Beverages