Senior Machine Learning Engineer

Job Overview

We are seeking a Senior Machine Learning Engineer (Lead) with 5–6 years of experience to architect, develop, and lead advanced time-series forecasting solutions for high-impact financial use cases. This role requires deep technical expertise in machine learning, strong financial domain knowledge, and the ability to translate research-driven models into production-grade systems within mission-critical environments.

Key Responsibilities

• Technical Leadership & Model Development


• Financial Modeling & Risk Analytics


• Production Deployment & MLOps


• Collaboration & Mentorship

Required Qualifications

5–6 years of hands-on ML engineering experience with strong expertise in time-series forecasting.
Proven experience in financial domain use cases (FX forecasting, treasury operations, financial risk modeling, etc.).
Deep understanding of time-series feature engineering (lags, rolling aggregates, decomposition, exogenous drivers).
Experience with classical statistical forecasting models (ARIMA, SARIMA, Exponential Smoothing).
Strong Python proficiency (pandas, NumPy, scikit-learn, XGBoost).
Experience with Prophet or comparable forecasting frameworks.
Expertise in time-aware cross-validation, Bayesian hyperparameter optimization, and model interpretability techniques (SHAP, LIME).
Strong understanding of evaluation metrics (MAPE, MAE, RMSE) and statistical validation methods.
Experience building data pipelines and working in research environments (e.g., Jupyter).
Strong communication skills for both technical and finance stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

About CodeNinja

CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations—combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients.

Benefits

Provident Fund
Gym Membership
Leaves as per the company policy
Company-paid trips
Easy Loan Facility for Employees
Yearly increment
Maternity Benefits (Leaves & WFH)
Health Insurance (Maternity covered) – includes spouse and parents (till age 80)