AI/ML Engineer - GCP

The Data Sherpas is a cutting-edge team focused on delivering innovative AI and machine learning solutions on Google Cloud Platform (GCP). The Google Cloud AI Engineer will design, develop, and deploy AI/ML models to tackle complex business challenges, collaborating with data scientists, software engineers, and business stakeholders.

Responsibilities:

• Design and implement AI/ML models using Google Cloud services such as Vertex AI, BigQuery ML, AI Platform, and AutoML
• Develop and deploy scalable machine learning models using TensorFlow, PyTorch, and other AI frameworks
• Build and optimize data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage to support AI/ML workflows
• Ensure AI solutions are efficient, scalable, and reliable in a production environment
• Design and implement machine learning training pipelines on GCP
• Optimize model performance through hyperparameter tuning and algorithm selection
• Monitor model accuracy and retrain models as needed to maintain performance
• Work with structured and unstructured data to create datasets for training and evaluation
• Automate data ingestion and preprocessing using tools like BigQuery and Dataflow
• Ensure data quality and integrity for AI/ML workflows
• Implement CI/CD pipelines for AI/ML models using Cloud Build and Vertex AI Pipelines
• Deploy machine learning models using Vertex AI Endpoints and monitor performance in real-time
• Ensure model governance, versioning, and auditing processes are followed
• Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions
• Evaluate new AI and ML technologies on GCP to improve existing solutions
• Provide technical guidance and thought leadership on AI best practices
• Ensure AI solutions comply with company security policies and industry regulations
• Implement access controls, data encryption, and secure APIs

Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; Master's or Ph.D. is a plus
• 3+ years of experience designing and implementing AI/ML solutions on Google Cloud Platform
• Google Professional Machine Learning Engineer certification is required
• Strong proficiency with GCP services such as Vertex AI, BigQuery, Cloud Dataflow, AI Platform, and AutoML
• Hands-on experience with machine learning frameworks like TensorFlow, Keras, and PyTorch
• Proficiency in programming languages such as Python, Java, or Go
• Experience with MLOps and CI/CD tools, including Cloud Build and Vertex AI Pipelines
• Strong understanding of AI/ML algorithms, data structures, and model optimization techniques
• Experience with containerization (Docker, Kubernetes) and orchestration using Google Kubernetes Engine (GKE)
• Strong analytical, problem-solving, and communication skills
• Experience with natural language processing (NLP) and computer vision solutions
• Experience with automated feature engineering and model interpretability
• Familiarity with data lake and data warehouse architectures on GCP
• Strong understanding of cloud security and access controls