WHO WE ARE:

We are a cutting-edge team focused on delivering innovative AI and machine learning solutions on Google Cloud Platform (GCP). Our Google Cloud AI Engineer will play a pivotal role in designing, developing, and deploying AI/ML models that tackle complex business challenges, working alongside data scientists, software engineers, and business stakeholders.

WHAT WE ARE LOOKING FOR:

We are seeking a highly skilled and innovative Google Cloud Artificial Intelligence (AI) Engineer to design, develop, and implement scalable and high-performance AI solutions using GCP’s suite of AI and ML services. The ideal candidate will have deep expertise in AI/ML frameworks, cloud-based data processing, and automation.

QUALIFICATIONS:

• 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.

PREFERRED 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.

AI/ML Solution Design and Development:

• 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.

Model Training and Tuning:

• 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.

Data Engineering and Preprocessing:

• 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.

Deployment and MLOps:

• 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.

AI Strategy and Innovation:

• 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.

Security and Compliance:

• Ensure AI solutions comply with company security policies and industry regulations.
• Implement access controls, data encryption, and secure APIs.