Requirements

5+ years experience, Machine Learning, Predictive Modeling, Optimization techniques, MLOps, Microsoft Azure, Oracle Cloud, ETL processes

Skills

Machine LearningMLOpsAzure

Develop and deploy machine learning models to solve business problems and improve operational efficiency
Work on optimization algorithms and advanced analytics to support data-driven decision-making
Design and implement end-to-end data science pipelines, including data preparation, model training, validation, and deployment
Implement and maintain MLOps pipelines for model monitoring, versioning, and continuous improvement
Work with cloud platforms such as Microsoft Azure or Oracle cloud services to deploy scalable ML solutions
Collaborate with cross-functional teams including engineering, product, and business stakeholders
Translate business requirements into data science solutions and communicate insights effectively
Ensure best practices for data quality, reproducibility, and model performance

5+ years of experience
Strong experience in Machine Learning and Predictive Modeling
Experience with optimization techniques or operations research
Hands-on experience with MLOps and model deployment pipelines
Experience with cloud platforms such as Microsoft Azure or Oracle cloud infrastructure
Strong knowledge of data pipelines, databases, and ETL processes
Experience delivering end-to-end data science projects

Experience in manufacturing, industrial analytics, or supply chain analytics domains
Knowledge of predictive maintenance, production optimization, or demand forecasting use cases
Exposure to large-scale data processing and analytics

Tibil Solutions provides advanced analytics and machine learning solutions for real-world industrial applications.