Job Description: Senior Machine Learning Engineer
Experience: 68 Years
Employment Type: Full-time
Location: Hyderabad/On- Site
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 machine learning 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 (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
- 68 years of hands-on experience in Machine Learning / Applied AI
- Strong proficiency in Python, SQL, and 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 Python, Deep Learning, Neural Networks, AI, Time Series, ML Algorithms
Note:
1. Applications will only be accepted through the ATS link provided above. Profiles shared through other means will not be considered.
2. Prolegion does not charge any fee from candidates at any stage. If anyone approaches you for money in exchange for this opportunity, treat it as fraud and report it to us immediately.
