Lead Data Scientist- Enterprise Outcome Team

Responsibilities:

• 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 push the industry ahead!
  
• 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
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. You will have to to code in customer environment as well, understand their requirements, and implement the basic ones yourself in TrueFoundry product. Work cross-functionally with Customer Development and Engineering while independently driving key initiatives for TrueFoundry customers.

Requirements:

• 7+ years experience working with transformer based models & NLP
• Deep experiemce with fine tuning, running large scale training jobs, experience with model servers like vLLM/ TGI / TorchServe
• Deep experience with GPU Infra management
• Familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy etc.
• Experience with one relational & 1 non-relational DB is a must.
• Working experience with tensorflow or pytorch and HuggingFace is a must
• Experience with model analysis and experimenration frameworks like MLFlow, W&B, tfma is preferred.
• Comfortable working in a linux environment

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
• Client facing role work directly with fortune 500 companies.
• Team discussions on product and business growth strategies.
• Insights for those who want to build a startup in the future
• Other benefits like learning credits

About US:
TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on Kubernetes. TrueFoundry is a powerful LLMOps and MLOps platform that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and train models at lightning speed with scalability.

TrueFoundry also facilitates faster experimentation with Open Source LLMs on your cloud infrastructure while simultaneously reducing operational expenses. TrueFoundry has built a fearlessly experimental, customer-obsessed team who are making discoveries to fundamentally change how people build and consume business applications. Today, we're partnering with the world's leading companies to transform how they use data and technology.

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/), also with internal and external stakeholders to develop best practices and solutions in the most optimized, scalable and reliable standards possible.

Our mission is to deliver positive value from Machine Learning by making it fast and scalable!
ML Developers (Data Scientists and ML Engineers ) should be enabled to build great ML products to deliver ROI from ML Investments and make everyone's lives better

Team:

• Founded by alumni from IIT Kharagpur, UC Berkeley, and ex-FaceBook Engineers, we have had folks from IITs, ISB, Facebook, Amazon, , GoJek, etc. Funded by top global Investors (Sequoia Capital, ENIAC) and angels (Naval Ravikant, Anthony Goldbloom).
• 2nd-time founders - their previos Postmanus startup (EntHire.co) was acquired by InfoEdge + was selected to be a part of Y Combinator.

How to Apply?

Please apply directly from here AND brownie points if you can email [email protected] 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.