At TrueFoundry, our mission is to make Machine Learning productionisation and monitoring simpler for anyone!
Team:
We have had folks from IITs, ISB, Facebook, Amazon, Postman, GoJek join us already. We have built a solid team & are well funded by top a top VC + directly from Naval Ravikant.
2nd-time founders – their previous startup (EntHire.co) was acquired by InfoEdge + was selected to be a part of Y Combinator.
About US:
We are building a ML Platform and our Value Prop is to enable ML Teams to go from Model to Live in 15 minutes with the best Practices including Monitoring and Auto-scaling built right from Day 0.
About the role:
In this role, you will work closely with the founders including Abhishek (https://www.linkedin.com/in/abhishekch123/) and Nikunj (https://www.linkedin.com/in/nikunj-bajaj-10476824/) to build our TrueFoundry Platform for easing the workflow of Developers and DataScientists. As one of the core members to join our team, you will play a key role in shaping the technology, growing the team and defining the vision of our company together with the founders. We are Product first team, work in a close knit fashion and operate like a family rather than co-workers.
Requirements:
- Experience with production-grade python- preferably contribution to open source repos. Experience with deployment of ML Models is required
- Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
- Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
- Some working experience with TensorFlow or PyTorch is preferred
- Experience with model analysis and experimentation frameworks like MLFlow, W&B, tfma is preferred.
What You’ll Do:
- Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets
- Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
- Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
- Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
- Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead!
Some Projects:
- Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets
- Build high performance multi tenant deployment architecture that works across frameworks like pytorch, sklearn & tensorflow
Benefits at TrueFoundry:
- Work with top engineers who led the Facebook Videos and Infrastructure team
- Weekly Games and learning sessions with teammates
- Flexible working hours and work directly with the Co-founders
- Team discussions on product and business growth strategies. Experience & insights for those who want to build a startup in the future
- Other benefits like learning credits
How to Apply?
Please apply directly from here AND brownie points if you can email careers@truefoundry.com with the following:
1) Resume/Link to LinkedIn profile
2) Why do you think you will be a fit for this role? {this often helps applications stand out)
3) If you have done a similar thing in the past – please highlight it.