Machine Learning Engineer in Financial Services

5 days ago

Bangalore, India Groww Full time
About Groww: We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Let’s chat.

Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians.

Our culture enables us to be what we are — India’s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves.
The values that form our foundation are:
Long-term thinking
Design and implement scalable machine learning solutions aligned with product and business objectives
Develop, test, and optimize ML models for deployment in production environments
Contribute to the development of Generative AI features such as conversational interfaces and personalization modules
Collaborate with product managers, data scientists, and engineers to integrate ML solutions into customer-facing products
Monitor performance of deployed models and iterate to improve accuracy, latency, and user experience
Follow best practices in model development, experimentation, and deployment
Required Skills and Experience:
~5-8 years of experience in applied machine learning and model deployment
~ Design and implement ML systems using both classical ML algorithms (e.g., Fine-tune, evaluate, and optimize foundation models (e.g., Proficiency in Python and commonly used ML frameworks (e.g., Experience building and deploying models using cloud services (AWS, GCP, or Azure)
~ Strong grasp of ML pipelines, feature engineering, and basic MLOps practices
~ Experience contributing to production-level ML solutions that deliver measurable value

Master’s degree in Computer Science, Machine Learning, or related discipline
Exposure to fintech or financial services domain is a plus
Contributions to open-source ML projects or community

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