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AI/ML engineer with GCP Cloud

Infosys · Posted today

  • Noida, Uttar Pradesh, India (On-site)
  • Full-time
  • 2-3 yrs

About the role

  • 2-3 years of hands-on experience in AI/ML model development and deployment Strong proficiency in Python and SQL for machine learning and data processing workflows Experience developing, training, and deploying Machine Learning models on Google Cloud Platform (GCP) Hands-on experience with BigQuery for large-scale data processing, analytics, and feature engineering Understanding of the complete ML lifecycle, including data ingestion, preprocessing, model training, validation, deployment, and monitoring Experience working with Vertex AI, BigQuery ML, and other GCP AI/ML services
  • Design, develop, and deploy Machine Learning and AI solutions on Google Cloud Platform (GCP). Build and maintain scalable data pipelines using BigQuery and GCP services. Develop and optimize machine learning models for predictive analytics and business use cases. Work with structured and unstructured datasets for data preparation, transformation, and feature engineering. Implement data ingestion and ETL/ELT processes using cloud-native services. Develop APIs and integrate machine learning models with enterprise applications. Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions. Monitor model performance, retraining processes, and production deployments. Ensure data quality, governance, security, and compliance across data and AI workflows. Optimize query performance and cost management within BigQuery environments. Support MLOps practices including model deployment, monitoring, and automation. Create technical documentation and provide support for AI/ML solutions.
  • Experience with Vertex AI for model training and deployment. Familiarity with Generative AI and Large Language Models (LLMs). Hands-on experience with LangChain or similar AI frameworks. Knowledge of data governance and security best practices. Exposure to GCP AI services and cloud-native architecture. Experience with dashboarding and visualization tools such as Looker or Power BI.

Skills

PythonSQLBigQueryVertex AIBigQuery MLML model training and deploymentData ingestion, preprocessing, validation, monitoringModel performance monitoring