Machine Learning Engineer

Overview

Company name: TrueFoundry | HQ Location: San Francisco, California  | Website | LinkedIn

Role: Machine Learning Engineer

• Salary: Rs. 35-55 Lakhs per annum
• Experience: 3+ years
• Location: Bangalore
• Type: Full-time

Responsibilities:

1. Has done large scale ML Deployments "- Help realise the product vision: Production-ready machine learning models with monitoring within moments, not months.
2. Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
3. Write maintainable, scalable performant python code
4. Build high volume and high availability analytics systems
5. Push the state of the art of MLOPs push the industry ahead! "
6. Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. You may need to code in their environment, understand their requirements, and implement the basic ones yourself in
7. TrueFoundry product. Work cross-functionally with Customer Development and Engineering while independently driving key initiatives for TrueFoundry customers.

Requirements:

1. 3+ years work experience with production grade python- preferably contribution to open source repos.
2. Prior experience with ML monitoring, observability & explainability systems. ●
3. Familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy etc.
4. Comfort working in a linux environment
5. Experience with one relational & 1 non-relational DB is preferred.
6. Some working experience with tensorflow or pytorch is preferred.
7. Experience with model analysis and experimenration frameworks like MLFlow, W&B, tfma is preferred.

Benefits at TrueFoundry:

1. Work with top engineers who led the Facebook Videos and Infrastructure team
2. Weekly Games and learning sessions with teammates
3. Flexible working hours and work directly with the Co-founders
4. Client facing role work directly with fortune 500 companies.
5. Team discussions on product and business growth strategies.
6. Insights for those who want to build a startup in the future
7. Other benefits like learning credits

About us

TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the right governance controls, allowing them to achieve 90% faster time to value than other teams.  

TrueFoundry abstracts out the engineering required and offers GenAI accelerators - LLM PlayGround, LLM Gateway, LLM Deploy, LLM Finetune, RAG Playground and Application Templates that can enable an organisation to speed up the layout of their overall GenAI/LLMOps framework. Enterprises can plug and play these accelerators with their internal systems as well as build on top of our accelerators to enable a LLMOps platform of their choice to the GenAI developers. TrueFoundry is modular and completely API driven, has native integration with popular tools in the market like LangChain, VectorDBs, GuardRails, etc.  TrueFoundry works with 25+ Fortune 500 Companies as well as hi-Tech midmarket companies including likes of WadhwaniAI, WhatFix, 2 Fortune 100 healthcare, Games24x7, AvisoAI etc. TrueFoundry is backed by Sequoia, Eniac & Angels like Naval Ravikant, Anthony Goldbloom & 50+ AI & ML leaders from top tech companies, Fortune 500 CXOs and founders at Unicorns like AlphaSense, Innovaccer, WhatFix, Rubrik etc.

Founder/Recruiter profiles:

Abhishek Choudhary