AI/ML engineer with GCP Cloud

Job Description:

• We are looking for an experienced AI ML Engineer with 2 to 3 years of expertise in creating, deploying, and maintaining machine learning and AI solutions utilizing Google Cloud Platform (GCP).
• The successful candidate will demonstrate strong proficiency in Python, machine learning, BigQuery, data engineering, and cloud-based AI services, along with practical experience in constructing scalable data pipelines and AI-driven applications.
• This position involves collaborating closely with data engineers, data scientists, and business stakeholders to develop production-ready ML solutions and utilize cloud-native technologies for enhanced analytics and AI projects.

Key Responsibilities:

• Design, develop, and implement Machine Learning and AI solutions on Google Cloud Platform (GCP).
• Construct and sustain scalable data pipelines using BigQuery and GCP services.
• Create and refine machine learning models for predictive analytics and business applications.
• Handle both structured and unstructured datasets for data preparation, transformation, and feature engineering.
• Establish data ingestion and ETL/ELT processes with cloud-native services.
• Develop APIs and integrate machine learning models with enterprise software.
• Collaborate with cross-functional teams to capture business requirements and convert them into AI/ML solutions.
• Track model performance, retraining processes, and production deployments.
• Ensure data quality, governance, security, and compliance across data and AI workflows.
• Enhance query performance and manage costs within BigQuery environments.
• Support MLOps practices, including model deployment, monitoring, and automation.
• Create technical documentation and offer support for AI/ML solutions.

Technical Requirements:

• 2 to 3 years of hands-on experience in AI/ML model development and deployment.
• Strong expertise in Python and SQL for machine learning and data processing tasks.
• Experience in training and deploying Machine Learning models on Google Cloud Platform (GCP).
• Practical experience with BigQuery for large-scale data processing, analytics, and feature engineering.
• Comprehensive understanding of the ML lifecycle, including data ingestion, preprocessing, model training, validation, deployment, and monitoring.
• Experience with Vertex AI, BigQuery ML, and other GCP AI/ML services.

Additional Responsibilities:

• Familiarity with Vertex AI for model training and deployment.
• Knowledge of Generative AI and Large Language Models (LLMs).
• Hands-on experience with LangChain or similar AI frameworks.
• Understanding 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