Job description
About Us
We don’t just build systems. We build trust.
And we don’t hire talent—we invite dreamers to co-create a more humane future.
At humani, we believe that technology can serve people without compromising their dignity. We are an ethics-first, human-centred, international team committed to building a world where merit, empathy, and substance guide our decisions—not prestige or power.
We are rethinking digital identity—one signal at a time. Our product uses behavioural data and Gen AI to create authentication that is secure, respectful, and frictionless. No passwords, no surveillance. Just a smart, adaptive system that understands you through the patterns you uniquely create.
This is not a 9-to-5 job. It’s a space for thinkers who want to keep their day jobs, but dedicate part of their time to something meaningful—and well-compensated.
And we’ve chosen to place this role in India—not by accident, but by belief.
We believe that India holds vast, underappreciated talent that doesn’t need fixing—just the right environment to blossom.
We value the deviators, the outliers, the quiet visionaries. If that’s you, welcome.
The Role
We’re looking for a Senior Machine Learning Engineer to help lead the development of models and pipelines that will define the next era of digital trust. You’ll work with time-series data, behavioural signals, and generative models to design a secure system that understands identity not as a static credential, but as a living, behavioural pattern.
This is a remote, part-time, hourly-paid position. All we ask is that once per quarter, we gather as a team for three days in a major EU city— to align, to create, and to be human together.
What You’ll Do
- Design, train, and optimize ML models (supervised, unsupervised, and generative) to extract meaning from behavioural patterns.
- Explore and implement Gen AI techniques (e.g., transformers, GANs) for anomaly detection and pattern recognition.
- Work closely with security engineers, product managers, and UX teams to integrate models into a seamless authentication product.
- Develop resilient pipelines to process high-volume, high-dimensional, often noisy behavioural data.
- Embed fairness, transparency, and explainability into everything you build.
- Anticipate emerging threats and build robustness from day one.
- Contribute to an MLOps culture rooted in clarity, reproducibility, and continuous learning.
- Mentor junior engineers and, if you wish, publish your learnings and breakthroughs in the wider AI community.
What We’re Looking For
- 5+ years in machine learning, AI, or applied data science, with a portfolio of models shipped into production. Particular experience in any of such companies:
- Google Research India (Bangalore),
- Microsoft Research India (Bangalore),
- Amazon AI / Alexa AI (Bangalore, Hyderabad),
- Adobe Research,
- IBM Research India,
- Samsung R&D Institute India (Bangalore, Noida),
- NVIDIA India, Intel India (AI Labs in Bangalore),
- Meta (Facebook) India – especially AR/VR and ML ethics divisions.
- Fractal Analytics – strong in applied AI, behavioral modeling,
- Haptik – conversational AI (acquired by Reliance),
- Turing.com – matches Indian engineers with global startups
- Observe.AI – AI for call center intelligence
- SigTuple – AI in healthcare diagnostics
- InVideo – Generative AI for video content,
- Yellow.ai – conversational and customer experience AI
- Proficiency in Python and frameworks like PyTorch or TensorFlow.
- Deep familiarity with cloud platforms (AWS, GCP, Azure).
- Background in behavioural biometrics, time-series modelling, or generative AI.
- Bonus points for experience in cybersecurity or digital authentication systems.
- A mindset that sees ambiguity not as a blocker—but as potential.
- Strong communication skills and a desire to lead with ethics and empathy.
- MSc or PhD in a quantitative field—or an equivalent, proven path of practical excellence.
Our Values
We are an international collective.
We respect what differentiates us—but we build on what unites us.
We are family-first, team-first, ethics-first. Always.
We don’t measure people by credentials—but by contribution.
We don’t believe in burnout culture—but in sustainable, joyful craftsmanship.
We don’t demand loyalty—we earn it through purpose and respect.
We’re not here to scale fast. We’re here to build deep.
Freedom: Work on your own time. No micromanagement. No pressure to leave your day job.
Fairness: Strong hourly paid, transparently and consistently.
Connection: We meet face-to-face every quarter, in a major EU city, for 3 days of building, bonding, and breaking bread.
Values: We are people-first. Family-first. Ethics-first.
Diversity: We come from many countries—but meet at our shared center: purpose.
Impact: This is not about growth hacking or vanity metrics. It’s about building tech that earns trust.
