Senior Machine Learning Engineer - Python

Description :

Job Description : Senior Machine Learning Engineer (78 Years) :

Experience : 7 to 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 to 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