Machine Learning Engineer – Finance Analytics & Insights

We are seeking a highly motivated and analytically strong ML Engineer to join our India-based team. This role will support the development and scaling of AI/ML-powered data products that drive strategic insights across Finance.

Requirements

• 3–5 years of experience in machine learning engineering, data science, or applied AI roles
• Strong proficiency in Python and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
• Solid understanding of feature engineering, model evaluation, and MLOps practices
• Experience working with large datasets using SQL and Snowflake
• Familiarity with Databricks for model development and orchestration
• Experience with CI/CD pipelines, version control (Git), and ML workflow tools
• Ability to translate business problems into ML solutions and communicate technical concepts to non-technical stakeholders
• Experience working in agile teams and collaborating with product managers, analysts, and engineers

Benefits

• Contributing to agile product development processes including sprint planning, backlog grooming, and user story creation
• Designing, building, and deploying machine learning models that support use cases such as forecasting, anomaly detection, case summarization, and agentic AI assistants
• Partnering with the Insights Analyst to perform feature engineering, exploratory data analysis, and hypothesis testing