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.
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.
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.
What We Offer:
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.
Join us and be part of a team creating innovative AI solutions on Google Cloud Platform!We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.
Expected salary:
Location: New York City, NY
Apply for the job now!
Apply Now
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.
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.
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.
What We Offer:
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.
Join us and be part of a team creating innovative AI solutions on Google Cloud Platform!We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.
Expected salary:
Location: New York City, NY
Apply for the job now!
Apply Now