About Groww
Groww is India’s fastest growing investment platform. Our long term vision to become the trusted money partner of ~100M Indians with core products in investment & banking. Groww was founded in 2016 by alums from Flipkart, ICICI, IITB, IITD, BITs Pilani and is backed by marquee investors like Tiger Global, Sequoia Capital, Ribbit Capital, and Y Combinator.
OUR VALUES
We take pride in our values and hold ourselves to a high standard on :
- Radical customer centricity
- Simplicity in our products and personalities
- Transparency on everything
- Long term thinking
- Ownership driven culture
Key Responsibilities :
Design and implement scalable AI / ML solutions aligned with business goals and user requirementsDevelop and optimize machine learning models for production deploymentLead the implementation of Generative AI applications, including conversational systems and personalization featuresCollaborate with cross-functional teams to integrate AI solutions into existing productsMonitor and improve the performance of ML systems in productionMentor junior ML engineers and promote best practices in AI / ML developmentParticipate in technical design discussions and architectural decisionsWork with stakeholders to translate business requirements into technical solutionsRequired Skills and Experience :
8-10 years of hands-on machine learning experience, with focus on production deploymentStrong expertise in Generative AI, NLP, and conversational AI technologiesExperience building and deploying AI-powered applications at scaleProficient in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)Experience with cloud platforms (AWS, GCP, or Azure) for AI workloadsStrong understanding of ML pipelines, feature engineering, and MLOpsProven track record of delivering measurable business impact through AI solutionsExcellent problem-solving and communication skillsPreferred Qualifications :
Master's degree in Computer Science, Machine Learning, or related fieldExperience in financial services or fintech domainKnowledge of recommendation systems and personalization techniquesContributions to open-source ML projectsExperience with MLOps tools and practices