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Senior Data Scientist for Google Cloud

2 weeks ago

Wellesley Island, United States The Data Sherpas Full time

About The Data Sherpas

We are a team of experts dedicated to delivering innovative AI and machine learning solutions on Google Cloud Platform (GCP). Our team is focused on designing, developing, and deploying AI/ML models that tackle complex business challenges.

Job Description:

As a Data Architect for AI Solutions, you will be responsible for designing and implementing scalable and high-performance AI solutions using GCP's suite of AI and ML services. You will work alongside data scientists, software engineers, and business stakeholders to create cutting-edge AI solutions.

  • Key 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.
  • Collaborate with data scientists, software engineers, and business stakeholders to create cutting-edge AI solutions.

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.