ML Engineer III

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. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo.

Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat.

Our Vision

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 Values

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 :

Radical customer centricity

Ownership-driven culture

Keeping everything simple

Long-term thinking

Complete transparency

Key Responsibilities :

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

Participate in code reviews, technical discussions, and architectural design sessions

Translate business requirements into technical specifications in partnership with stakeholders

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., XGBoost, Random Forests, SVMs) and GenAI techniques (LLMs, VAEs, GANs).

Fine-tune, evaluate, and optimize foundation models (e.g., GPT, LLaMA, Claude) for custom use-cases like summarization, Q&A, RAG pipelines, or structured generation.

Proficiency in Python and commonly used ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)

Experience building and deploying models using cloud services (AWS, GCP, or Azure)

Strong grasp of ML pipelines, feature engineering, and basic MLOps practices

Ability to work collaboratively and communicate technical concepts clearly

Experience contributing to production-level ML solutions that deliver measurable value

Preferred Qualifications :

Master’s degree in Computer Science, Machine Learning, or related discipline

Exposure to fintech or financial services domain is a plus

Familiarity with recommendation engines or personalization techniques

Contributions to open-source ML projects or community