Senior Machine Learning Engineer
Headsmart Solutions
5 - 10 years
Hyderabad
Posted: 21/03/2026
Job Description
Job Description: Senior Machine Learning Engineer
Experience: 68 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
78 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
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