Senior Machine Learning Engineer - Predictive Analytics

Description :

Responsibilities :

- Design, develop, and deploy machine learning models for predictive analytics, optimization, and decision support

- Build end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, and monitoring

- Collaborate with data architects to ensure scalable, secure, and compliant data and ML architectures

- Apply statistical analysis and advanced ML techniques (supervised, unsupervised, time series, NLP where applicable)

- Optimize model performance and reliability for production environments

- Partner with business stakeholders to communicate insights, assumptions, and model limitations clearly

- Ensure adherence to data governance, cybersecurity, and privacy standards

- Support deployment using CI/CD and MLOps best practices

- Mentor junior engineers and contribute to technical standards and reusable frameworks

Requirement :

- Strong proficiency in Python / R , ML libraries (scikit learn, TensorFlow, PyTorch, XGBoost, etc.)

- Solid understanding of statistics, probability, and model evaluation techniques

- Experience working with structured and unstructured data at scale

- Proven ability to deploy ML models into production environments

- Strong problem solving, communication, and stakeholder engagement skills

Preferred Qualifications :

- Masters degree in Data Science, AI, or a related field

- Experience in EPC, engineering, construction, manufacturing, or asset intensive industries

- Exposure to time series forecasting, anomaly detection, or optimization models

- Experience with cloud platforms (Azure preferred)

- Familiarity with MLOps tools and practices

- Experience working in global, matrixed organizations