Are you passionate about solving roadblocks & challenges faced by MSMEs in India?MSMEs contribute significantly to India’s total GDP. 90% of India’s ~$1 Trillion Retail Market is controlled by Micro, Small & Medium Enterprises (MSMEs). Which means ~$900B worth of commerce flows through these ~60M MSMEs in the form of shops/kiosks/homes, scattered all over the country. We at Khatabook, have a vision to empower MSMEs and help them increase their incomes. We have built a product that brings efficiency in MSME operations by providing them easy to use tools to manage their receivables, inventory and billing which creates transparency in their cash flow. Within the Khatabook platform, we have also enabled the facility to take loans for their short term working capital needs for select Khatabook users that are displaying good credit behavior. Our app has been downloaded over 100 Million times with a monthly active user base of 8 Million+ which are adding 220 Million+ transactions with a transaction value of $18 Billion.Why work with us?People are our biggest asset! At Khatabook, every one of us is a dynamic superstar. We have carefully bred an ecosystem which hires nothing but incredibly and exceptionally talented people who can dream, collaborate, experiment, and break new ground. We’re a strong team that looks out for each other.Your role:As an AI Scientist/ML Engineer at Khatabook, you will play a pivotal role in developing, deploying, and maintaining cutting-edge Generative AI solutions and robust ML systems to drive business impact and enhance customer experience. Collaborating with cross-functional teams, you will combine strong critical thinking with advanced technical skills—leveraging both AI research and MLOps best practices (including FastAPI, Docker, and Kubernetes)—to build scalable, reliable, and impactful AI/ML products that seamlessly integrate into our business processes.What would you do at Khatabook?Develop and implement Generative AI (GenAI) based solutions tailored to create business impact and enhance customer experience at Khatabook.Understand specific business processes in depth and utilize a first-principles approach to reimagine value creation and drive improvement using AI.Collaborate extensively with cross-functional teams, including product managers and software engineers, to conceptualize, solutionize, and deploy AI/ML solutions.Raise productivity and efficiency by ensuring seamless integration and automation of AI/ML solutions into existing workflows and platforms.Design, develop, and automate robust end-to-end ML pipelines, including model training, deployment, monitoring, and management.Implement and manage APIs for model serving (using FastAPI), containerize AI/ML solutions (using Docker), and orchestrate scalable deployments (using Kubernetes).Apply MLOps best practices to streamline model development, deployment, and monitoring, ensuring the reliability and scalability of AI/ML systems.Design, test, and refine AI prompts leveraging advanced prompt engineering techniques; research and identify effective problem-framing methods for AI systems.Continuously define and monitor key quality metrics (such as accuracy, relevance, and completeness) and operational/latency metrics (such as response time and processing speed) for AI/ML deployments, using insights for iterative improvements.Stay informed about the latest advancements in GenAI, machine learning, MLOps, and related technologies, and apply innovative techniques to enhance Khatabook’s AI capabilities.What are we looking for ?Bachelor’s or Master’s degree in Engineering or a related field from a recognized institution.Demonstrated ability in high-level critical thinking, problem-solving, and complex systems analysis.Proficiency in programming, preferably in Python.Hands-on experience with MLOps tools and best practices, including FastAPI (for model APIs), Docker (for containerization), Kubernetes (for orchestration), and automation of end-to-end ML pipelines.Exceptional analytical skills, with the ability to detect patterns, recognize biases, and identify heuristics.1-3 years of practical experience demonstrating strong problem-solving abilities in AI/ML and MLOps.Prior experience working with GenAI technologies and a good understanding of LLMs, RAG, Agents, and related frameworks.Familiarity with monitoring and maintaining deployed models, setting up CI/CD pipelines for ML workflows, and collaborating in cross-functional teams to deliver scalable, reliable AI/ML solutions.