Machine Learning Engineer Indiglobe IT Solutions
Indiglobe IT Solutions
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Tamil Nadu
Skills: Python, airflow, aws, Scala, Java, Ml, Azure, Reinforcement Learning, GCP, MLflow, ML Workflows, xgboost, PyTorch, Control systems, adaptive bidding models, realtime ml models, Tensorflow, Scikitlearn
About Indiglobe IT Solutions
Job Description
Experience: 3 to 5 years Location: Pollachi Strong proficiency in Python for ML workflows (must-have); familiarity with Java/Scala is a plus. Experience building production-grade ML models for real-time or low-latency systems. Hands-on with scikit-learn, XGBoost, and optionally PyTorch or TensorFlow. Familiar with MLFlow, Airflow, and deploying models using APIs or inference services. Comfortable working in GCP, AWS, or Azure environments. Builds production-ready ML models for bid shaping, audience prediction, and adaptive optimization. Build real-time ML models for bid shaping using OpenRTB signals and auction dynamics. Implement adaptive bidding models that optimize toward a target win rate (e.g., 15%). Develop reinforcement learning or control systems for dynamic pricing and margin adjustment. Collaborate with data scientists to productionize insights into bidding models. Build scalable inference pipelines that operate within latency budgets for real-time bidding. Skills: python,mlflow,airflow,aws,scala,java,ml workflows,xgboost,pytorch,control systems,adaptive bidding models,ml,real-time ml models,azure,tensorflow,reinforcement learning,scikit-learn,gcp,