Senior Machine Learning Engineer

Job Description: Senior Machine Learning Engineer

Experience: 6–8 years

Employment Type: Full-time

Location: Hyderabad

Role Summary

We are seeking a Senior Machine Learning Engineer to design and build intelligent decision-making systems using time-series forecasting, spatial modeling, and optimization techniques. The role involves evolving systems from rule-based logic to advanced ML and reinforcement learning, and deploying them at production scale.

Key Responsibilities

● Build time-series demand forecasting models using rolling statistics, classical ML, and deep learning

● Develop spatial / geospatial models using hexagonal or grid-based representations

(e.g., H3)

● Implement classification models (e.g., logistic regression, tree-based models) for risk and state detection

● Design and optimize scoring and ranking engines using weighted heuristics and learned value functions

● Work on policy learning and reinforcement learning for long-horizon optimization

● Own feature engineering, training pipelines, and model evaluation ● Deploy models for batch and near-real-time inference● Implement model monitoring, drift detection, and retraining workflows

● Collaborate closely with data engineering and backend teams to productionize ML systems

Required Skills & Experience

● 7–8 years of hands-on experience in Machine Learning / Applied

AI ● Strong proficiency in Python and SQL, FastAPI

● Solid understanding of time-series forecasting techniques

● Experience with classification, regression, and ranking models ● Practical experience with tree-based models (XGBoost, LightGBM, Random Forest) ●

Experience designing production ML pipelines

● Strong understanding of feature engineering, model evaluation, and explainability

Good to Have

● Experience with spatio-temporal models (ST-GNNs, Transformers, temporal CNNs)

● Exposure to Reinforcement Learning, contextual bandits, or MDP-based systems ●

Experience with graph-based modeling

● Familiarity with MLflow, feature stores, Kubernetes

● Experience working with large-scale, high-frequency data systems