Machine Learning Engineer AI/ML, GCP & MLOps

Role & responsibilities

Machine Learning Engineer AI/ML, GCP & MLOps

• Design, train, validate, and deploy machine learning models for data-quality anomaly detection, attribution, and signal generation.
• Develop and maintain ML pipelines using GCP, Vertex AI, and BigQuery/BigQuery ML.
• Integrate ML outputs with DBT models and data-quality scorecards.
• Implement MLOps best practices including model versioning, reproducible experiments, feature engineering documentation, model monitoring, and drift detection.
• Build scalable ETL/ELT pipelines to ingest, transform, and load dealer data into cloud data warehouses.
• Develop and maintain DBT models for data transformation, testing, and documentation.
• Design and maintain robust Airflow/Astronomer DAGs with alerting, retries, and SLA monitoring.
• Work with large-scale datasets using Python, SQL, PySpark, BigQuery, and GCP services.
• Partner with Product Owners, Analytics, and Engineering teams to identify ML use cases and translate business requirements into technical solutions.
• Analyze model performance and provide clear recommendations on ML solution feasibility and deployment.
• Follow strong software engineering practices including TDD, CI/CD, Git, code reviews, and pair programming.
• Participate in Agile ceremonies, PI Planning, sprint planning, and technical discussions.
• Maintain technical documentation for ML models, data pipelines, features, and processes.
• Troubleshoot data, pipeline, model, and production issues and drive them to resolution.

Required Skills

• 4+ years of overall IT experience with 3+ years of software development experience.
• Strong hands-on experience with Python.
• Strong understanding of Machine Learning and AI/ML concepts.
• Experience with Scikit-learn.
• Experience with one or more ML frameworks such as PyTorch or TensorFlow.
• Experience building and deploying ML models/pipelines.
• Strong analytical and problem-solving skills.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Preferred candidate profile

• Python
• Machine Learning / AI/ML
• Scikit-learn
• PyTorch / TensorFlow
• ML Model Development & Deployment