Senior Machine Learning Engineer

The Data Science team at Navi plays a pivotal role in developing intelligent solutions that power our products and drive business outcomes. We work across key domains such as lending, collections, KYC, UPI growth, and ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to tackle high-impact challenges. Our work involves diverse data types - text, image, and tabular data - and we collaborate closely with cross-functional teams like Product, Business, Engineering, etc., to deliver end-to-end solutions.

About the Role

As a senior data scientist, you'll be an integral part of a team building scalable and efficient solutions across various domains. You won't just solve predefined problems; you'll identify them and develop solutions to achieve high business impact. This role offers the opportunity to lead high-impact data science initiatives that directly influence strategic business decisions. It involves working at the intersection of advanced machine learning, large-scale data processing, and cross-functional collaboration, with a focus on building scalable solutions and fostering a culture of technical excellence and innovation within the team.

Key Responsibilities:

• Drive end-to-end delivery of high-impact data science initiatives from conception and prototyping to large-scale deployment, ensuring alignment with business goals and measurable outcomes.
• Engage and influence stakeholders across Product, Engineering, Business, and Executive teams, shaping problem definitions and championing data-driven decision making.
• Demonstrate deep expertise across machine learning and deep learning concepts, setting technical direction and solving complex, ambiguous problems.
• Architect and deliver solutions across diverse data types, leveraging cutting-edge models and best practices to drive business value at scale.
• Lead experimentation with emerging algorithms and technologies, fostering a culture of innovation and staying ahead of industry trends, especially in the fintech domain.
• Establish and uphold best practices for model validation, monitoring, performance tracking, and risk management in production environments, ensuring reliability and compliance.
• Mentor and guide junior team members, facilitate technical reviews, and contribute to a culture of knowledge sharing, continuous learning, and technical excellence within the team.

Requirements:

• Bachelor's or higher degree in Computer Science, Electrical Engineering, or a quantitative field, with a demonstrated research mindset and 5+ years of relevant experience.
• Deep understanding of modern machine learning techniques, underlying mathematics, and hands-on experience with key ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.).
• Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies.
• Proven experience working with distributed computing platforms for large-scale data processing and model training.
• Strong programming skills, preferably in Python, Scala, or similar languages.
• Demonstrated ability to drive large-scale machine learning projects end-to-end from problem formulation and data preparation to deployment and monitoring.
• Proven track record of delivering high business impact through data science solutions in previous roles.
• Experience leading projects with multiple team members and/or mentoring junior colleagues is preferred.

At Navi, you'll have the opportunity to work on high-impact projects, develop your skills, and grow professionally. Our dynamic team environment fosters innovation, collaboration, and mutual support.

At Navi, it's about how you think, build, and grow. You'll thrive here if:

• You're impact-driven: You take ownership, build boldly, and care about making a real difference.
• You strive for excellence: Good isn't good enough. You bring focus, precision, and a passion for quality.
• You adapt quickly: You move fast and always put the customer first.