Senior ML Engineer (AI)

TL;DR

Senior ML Engineer (AI): Designing and building intelligent decision-making systems using time-series forecasting, spatial modeling, and optimization techniques with an accent on evolving systems from rule-based logic to advanced ML and reinforcement learning. Focus on deploying models for batch and near-real-time inference and implementing monitoring and retraining workflows.

Location: Hyderabad, India

Company

hirify.global is seeking a Senior ML Engineer to design and build intelligent decision-making systems using advanced machine learning techniques.

What you will do

• Design and build intelligent decision-making systems using time-series forecasting, spatial modeling, and optimization.
• Evolve systems from rule-based logic to advanced ML and reinforcement learning.
• Develop time-series demand forecasting models using classical ML and deep learning.
• Implement classification models for risk and state detection.
• Design and optimize scoring and ranking engines.
• Deploy and monitor models for batch and near-real-time inference, including drift detection and retraining workflows.

Requirements

• 7–8 years of hands-on experience in Machine Learning / Applied AI.
• Strong proficiency in Python, SQL, and FastAPI.
• Solid understanding of time-series forecasting, 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.

Nice to have

• Experience with spatio-temporal models.
• Exposure to Reinforcement Learning or contextual bandits.
• Experience with graph-based modeling.
• Familiarity with MLflow, feature stores, Kubernetes.
• Experience working with large-scale, high-frequency data systems.

Culture & Benefits

• Not specified.