Google Cloud Artificial Intelligence (AI) Engineer
Job title: Google Cloud Artificial Intelligence (AI) Engineer in New York City, NY at The Data Sherpas
Company: The Data Sherpas
Job description: 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.Key Responsibilities: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.
- 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.
- 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.
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision coverage.
- 401(k) with company matching.
- Professional development and training opportunities (including GCP certification).
- Flexible work environment and remote work options.