- We are seeking a skilled AI ML Engineer with 2 3 years of experience in developing deploying and maintaining machine learning and AI solutions on Google Cloud Platform GCP
- The ideal candidate should have strong expertise in Python Machine Learning BigQuery Data Engineering and Cloud based AI services with hands on experience in building scalable data pipelines and AI driven applications
- This role requires working closely with data engineers data scientists and business stakeholders to build production ready ML solutions and leverage cloud native technologies for advanced analytics and AI initiatives
Key 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
Technical Requirements:
- 2 3 years of hands on experience in AI ML model development and deployment
- Robust 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
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
Preferred Skills:
Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->Cloud Platform->Google Big Data->GCP