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Cloud AI Architect

2 weeks ago

Toronto, Ontario, Canada Bitstrapped Full time
Cloud AI Architect

Are you a skilled Cloud AI Architect looking for a challenging role? Do you have experience with developing and deploying machine learning models on Google Cloud?

This is an exciting opportunity to join our team at Bitstrapped, a fast-growing data engineering and cloud consulting company. We're passionate about helping companies invest in forward-thinking data, machine-learning solutions, and cloud-native infrastructure.

We help our customers architect solutions for the cloud, advanced data engineering, MLOps, and AI infrastructure. This includes engineering systems for data ingestion, data transformation, data warehousing, data migrations, and the application of machine learning.

We're looking for a highly skilled Cloud AI Architect to develop and deploy large-scale text-based models using generative AI techniques. As a key member of our team, you'll work closely with cross-functional teams to gather requirements, define project goals, and design scalable machine learning architectures.

Key Responsibilities:

  • Develop and deploy machine learning models on Google Cloud Platform (GCP), leveraging tools such as VertexAI, GenApp Builder, PalmApi, and BigQueryML.
  • Collaborate with cross-functional teams to gather requirements, define project goals, and design scalable machine learning architectures.
  • Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality and reliable models.
  • Implement and optimize machine learning algorithms and pipelines to handle large-scale text-based datasets.
  • Explore and experiment with generative AI techniques, including large language models, to solve complex text-related problems.
  • Monitor and maintain deployed models, ensuring performance, scalability, and reliability in production environments.
  • Stay up-to-date with the latest advancements in machine learning, generative AI, and text-based models, and proactively propose innovative solutions to enhance existing systems.

Requirements:

  • Bachelor's or advanced degree in Computer Science, Engineering, or a related field.
  • Strong experience in machine learning engineering, with a focus on developing and deploying models in production environments.
  • Proficiency in using Google Cloud Platform (GCP) tools and services for machine learning, such as Vertex AI, BigQuery, and TensorFlow.
  • Solid understanding of deep learning architectures, natural language processing (NLP), and generative AI models, particularly in the text domain.
  • Proficiency in Python and experience with relevant libraries and frameworks, such as TensorFlow, PyTorch, or Keras.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques for text-based datasets.
  • Familiarity with MLOps practices, version control, and CI/CD pipelines for machine learning.
  • Strong problem-solving skills and the ability to work on complex projects independently or collaboratively.
  • Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Salary Range: $120,000 - $180,000 per year, depending on experience.