Machine Learning Engineer AI/ML, GCP & MLOps

V2soft; Chennai District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

V2soft is seeking a Machine Learning Engineer to design, train, and deploy ML models for data-quality anomaly detection and signal generation. You will develop ML pipelines using GCP, Vertex AI, and BigQuery, and integrate outputs with DBT models and scorecards.

The role emphasizes MLOps, feature engineering, monitoring, and scalable ETL/ELT pipelines. The candidate will work with Python, SQL, PySpark, and BigQuery across large datasets, collaborating with Product Owners, Analytics, and

Qualifications

• 4+ years of IT experience with 3+ years of software development.
• Strong hands-on experience with Python.
• Strong understanding of Machine Learning and AI/ML concepts.
• Experience with Scikit-learn.
• Experience with 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.

Responsibilities

• Design, train, validate, and deploy ML 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.

Skills

Python

Machine Learning

Scikit-learn

PyTorch / TensorFlow

ML pipelines

SQL

Education

Bachelor's degree in Computer Science, Engineering, Information Technology

Tools

Vertex AI

BigQuery

DBT

Job description

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