Senior Machine Learning Engineer

Vadodara - India

Monthly Salary: Not Disclosed

Posted on: 9 days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Design develop and deploy machine learning models for predictive analytics
optimization and decision support across EPC project lifecycles
Translate engineering construction and operations use cases into ML solutions
(e.g. cost forecasting schedule risk quality defects equipment reliability)
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 timeseries 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

Required Qualifications

Bachelors degree in Computer Science Engineering Mathematics or a related
discipline
Strong proficiency in Python / R ML libraries (scikitlearn 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 timeseries forecasting anomaly detection or optimization models
Experience with cloud platforms (Azure preferred)
Familiarity with MLOps tools and practices
Experience working in global matrixed organizations

Skills & Competencies

Machine Learning & Statistical Modeling
Data Engineering & Feature Engineering
Model Deployment & Monitoring
MLOps & Automation
Analytical Thinking & Business Translation
Collaboration across technical and non technical teams
Continuous Improvement & Innovation mindset

Key Responsibilities Design develop and deploy machine learning models for predictive analytics optimization and decision support across EPC project lifecycles Translate engineering construction and operations use cases into ML solutions (e.g. cost forecasting schedule risk quality defects ...

Key Responsibilities