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ML Engineer IV - bangalore - Groww
Description
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 requirements
- Develop and optimize machine learning models for production deployment
- Lead the implementation of Generative AI applications, including conversational systems and personalization features
- Collaborate with cross-functional teams to integrate AI solutions into existing products
- Monitor and improve the performance of ML systems in production
- Mentor junior ML engineers and promote best practices in AI/ML development
- Participate in technical design discussions and architectural decisions
- Work with stakeholders to translate business requirements into technical solutions
Required Skills and Experience:
- 8-10 years of hands-on machine learning experience, with focus on production deployment
- Strong expertise in Generative AI, NLP, and conversational AI technologies
- Experience building and deploying AI-powered applications at scale
- Proficient in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)
- Experience with cloud platforms (AWS, GCP, or Azure) for AI workloads
- Strong understanding of ML pipelines, feature engineering, and MLOps
- Proven track record of delivering measurable business impact through AI solutions
- Excellent problem-solving and communication skills
Preferred Qualifications:
- Master's degree in Computer Science, Machine Learning, or related field
- Experience in financial services or fintech domain
- Knowledge of recommendation systems and personalization techniques
- Contributions to open-source ML projects
- Experience with MLOps tools and practices
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