Machine Learning Engineer
hace 2 meses
**About Aviva**
We are a Mexico City-based technology startup following a unique approach to unsecured credit for underserved communities. Aviva’s physical onboarding kiosks build a bridge to those living in remote communities and provide a documentless 3-minute video onboarding for everyone in need of liquidity. This asset-light acquisition strategy, combined with a superior risk model based on computer vision and natural language processing, will allow Aviva to offer the lowest interest rates available to today’s underserved.
**Our Founding Team**
We are a team of entrepreneurs and experienced finance professionals, who have built unicorn startups and managed blue-chip banking operations worldwide. After driving innovation in lending in Mexico for the past two decades, we have just closed a 7-digit USD seed round to create impact for the underbanked.
**What you will do**
- Produce Video-based models to bring financial products to the traditionally unbanked
- Iterate fast through experimentation and monitoring
- Conduct deep-dive analysis to understand highly complex problems
- Design strategies on topics like data acquisition and risk management
- Ensure that our systems are scalable, reliable, and extensible
**Requirements**:
- Degree in STEM field
- 3+ years experience with conducting Computer Vision research using Deep learning models (CNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)
- Experience with end-to-end ML systems, cloud platforms, data pipelines and model monitoring
- Extraordinary modelling skills
- Relevant experience in video-processing using ML solutions is a plus
- Experience in NLP and/or Fintech is a big plus
- Creative and strategic approach in solving hard people and technical problems
- Ability to drive clarity and impact when engaging with internal and external stakeholders
**Benefits**
- Join us in building our second unicorn
- Attractive compensation package with stock options
- Fast-paced environment with many growth opportunities
- Relocation package & excellent medical coverage
- 15 annual vacation days
- Possibility to work remote 2-3 days per week
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