AI/ML engineer with GCP Cloud

Infosys Limited; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Infosys Limited is seeking an AI/ML engineer with GCP Cloud for Noida to design, build, and deploy scalable ML solutions. The role emphasizes hands-on model development, data pipelines with BigQuery, and integration with enterprise applications.

The ideal candidate will have 2-3 years of hands-on experience in AI/ML, strong Python/SQL skills, and familiarity with Vertex AI and GCP services, supporting robust data governance and cost management.

Qualifications

• Hands-on experience in AI/ML model development and deployment.
• Strong proficiency in Python and SQL for ML workflows.
• Experience developing, training, and deploying ML models on Google Cloud Platform (GCP).
• Understanding of the ML lifecycle: data ingestion, preprocessing, training, deployment, monitoring.

Responsibilities

• Design, develop, and deploy ML solutions on GCP.
• Build scalable data pipelines using BigQuery and GCP services.
• Develop and optimize ML models for predictive analytics and business use cases.
• Collaborate with cross-functional teams to translate requirements into AI/ML solutions.

Skills

Python

SQL

BigQuery

Vertex AI

GCP

Education

Bachelor's degree in Engineering

Tools

Looker

Power BI

Job description

Noida, Infosys Limited AI/ML engineer with GCP Cloud

Job ID/Reference Code INFSYS-INDEED1-254321

Work Experience 2 - 3 Years

Job Title AI/ML engineer with GCP Cloud

Educational Requirements Bachelor of Engineering

Service Line Data & Analytics Unit

Responsibilities 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.

Additional Responsibilities: 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.

Technical and Professional Requirements: 2-3 years of hands-on experience in AI/ML model development and deploymentStrong proficiency in Python and SQL for machine learning and data processing workflowsExperience 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 engineeringUnderstanding of the complete ML lifecycle, including data ingestion, preprocessing, model training, validation, deployment, and monitoringExperience working with Vertex AI, BigQuery ML, and other GCP AI/ML services

Preferred Skills: Technology->AI-Generative AI->Artificial Intelligence - BASIC Technology->Cloud Platform->Google Big Data->GCP Technology->AI-Data science->Machine Learning