About TrueFoundryTrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on Kubernetes. It enables ML teams to train and deploy models at the speed of Big Tech with 100% reliability and scalability, reducing costs and facilitating faster experimentation.
Requirements:Must be proficient in Python, REST APIs, CI/CD pipelines and Docker.Experience with NLP is an added advantage.Must have 1+ year of experience with AI/ML so the talent can ideally design and modify MlOPs; LLMs process.Experience of understanding and working with complex codebases is a must.Should know Database design & modeling.
Responsibilities:Deploy ground-breaking technical solutions to solve our customers' hardest problems. SEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration.Work closely with Pre-sales and Post-sales teams to ensure that TrueFoundry customers are successful and experience a high level of customer satisfaction with the TrueFoundry Product.Interface with the Customer's Executive and Leadership teams when needed to understand the technical goals and business objectives related to their MlOPs, LLMs process, and design their TrueFoundry implementation to best fit those requirements.Document and implement the different processes and solutions that are employed for onboarding success in order to enable internal TrueFoundry team, contribute to the product design, assist in the TrueFoundry Community, and for building out an advanced technical knowledge base.Work with customers around the globe and will gain rare insight into the world's most important industries and institutions. Work cross-functionally with Customer Development and Engineering while independently driving key initiatives for TrueFoundry customers.Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles.
Please apply only if you:Have expertise in Python and used it extensively (3+ years)You are NOT a Data Engineer, but a Backend Engineer/ML Engineer who has 1+ year of ML experience.You have at least 3+ years of experience in Product companiesYou come from a tier-1 engineering college
Hiring Process:2 Rounds of interview focused on DSA and basics of MLOffer