Job Description

Responsibilities:

• Has done large scale ML Deployments "- Help realise 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! "
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles.

Requirements:

• 4+ years work experience with production grade python- preferably contribution to open source repos.
• Prior experience with ML monitoring, observability & explainability systems.
• Familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy etc.
• Some working experience with tensorflow or pytorch is preferred.
• Experience with model analysis and experimenration frameworks like MLFlow, W&B, tfma is preferred.

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.
• 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.