Senior Gen AI Engineer

(Featured in Forbes, Nasdaq, and Entrepreneur magazine.\n\nSciSpace is a series-funded startup. We have raised 4.5 million USD to date, with the most recent fundraise in October 2021 from US-based VC firms. We have expanded our product portfolio with the launch of “SciSpace” - the world’s largest social platform for Research - hosting 200M+ publications and 50M+ profiles.

Think of it like medium.com for hosting and discovering academic papers. We are looking for insatiably curious, always learning Senior Research Scientist. You could get a chance to work on the most important and challenging problems at scale.\n\nAs a software engineer dedicated to developing Gen AI based ML systems, you will be involved in deployment of ML models, building ML systems and pipelines to ensure reliable systems are deployed at scale to provide value for researchers.

This is an engineering dominated role but the candidate should have basic knowledge of ML especially NLP Transformer based (LLM) models to be able to handle the systems better.\n\nResponsibilities:\nML System Development: Design, develop, and maintain scalable and efficient machine learning systems, including writing ML services and APIs.\nModel Deployment: Implement and manage the deployment of machine learning models, including transformer based LLMs, into production environments, ensuring reliability and scalability.\nInfrastructure Management: Collaborate with infrastructure teams to optimize and manage the underlying systems supporting machine learning workflows.\nData Pipeline Creation: Create robust and efficient data pipelines for collecting, processing, and preparing datasets for machine learning models.\nCollaboration: Work closely with data scientists, researchers, and cross-functional teams to integrate ML solutions into existing software infrastructure.\nPerformance Optimization: Continuously optimize and improve the performance of machine learning algorithms and systems.\nDocumentation: Develop and maintain documentation for machine learning systems, APIs, and data pipelines to ensure clarity and ease of use for team members.\n\nOur ideal candidates would:\n3+ years of experience including working on designing multi-component systems\nStrong grasp of one high-level language like Python.\nGeneral awareness of SQL and database design concepts\nSolid understanding of testing fundamentals\nStrong communication skills\nshould have prior experience in managing and executing technology products.\nDecent understanding of various Gen AI based ML approaches\nExperience in building agentic architectures using langgraph or similar libraries\n\nBonus:\nPrior experience working with high-volume, always-available web-applications\nExperience working with cloud\nKnowledge of cloud platforms such as AWS, GCP, or Azure.\nExperience with deploying small and big open source LLMs in production environments using containerization tools like Docker\nExperience in Distributed systems.\nExperience working with Start-up is a plus point.\n\nCompensation Range - 25LPA - 45LPA