Google Cloud Artificial Intelligence

2 weeks ago

Wellesley Island, United States The Data Sherpas Full time

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.

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