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  1. Go to Settings.
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AI/ML Platform Engineer (Google Cloud Platform Focus)

Salary undisclosed
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Role: AI/ML Platform Engineer (Google Cloud Platform Focus)

Duration: 12+ Months

Location: Bay Area (Concord CA & San Francisco CA) and Charlotte, NC (Onsite)

Description:

  • AI/ML Platform Engineer (Google Cloud Platform Focus)
  • We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Google Cloud Platform (Google Cloud Platform) to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of Google Cloud Platform. Your expertise will be crucial in enabling our data scientists and machine learning engineers to develop, deploy, and scale AI models efficiently and effectively.

Basic Qualifications:

  • 8+ years' experience as Software Development Services
  • 1-3+ years of experience in Google Cloud Platform.

Key Responsibilities

  • Build robust AI/ML platforms on Google Cloud Platform, ensuring scalability, reliability, and performance.
  • Set up and maintain Google Cloud Platform services such as AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engine.
  • Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
  • Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
  • Continuously optimize the AI/ML infrastructure for cost, performance, and security.
  • Implement monitoring solutions to ensure the health and performance of AI/ML systems and troubleshoot any issues that arise.
  • Maintain comprehensive documentation of the architecture, workflows, and best practices.

Preferred Qualifications:

  • Proven experience as an AI/ML engineer with a focus on platform engineering and Google Cloud Platform.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience in Terraform and Helm will be an advantage.
  • Experience in implementing inferencing, benchmarking, and fine-tuning of Generative AI models using Google Cloud Platform services.
  • Strong understanding of LLMs and proven experience building platforms and applications that leverage them.
  • Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
  • Strong understanding of data storage, processing, and ETL workflows.
  • Knowledge in chunking strategies for vector database.
  • Knowledge in classification and embedding models.
  • Familiarity with Agile methodologies and project management tools.

Desired Qualifications:

  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • 2+ years of designing, developing, testing, and optimizing python microservices using gRPC
  • 2+ years of Python development experience
  • 3+ years of Linux experience

VDart Group, a global leader in technology, product, and talent management, empowers businesses with comprehensive solutions through our four distinct, industry-leading business units. With a diverse team of over 4,000 professionals across 13 countries, we deliver strong results across various industries, including Fortune 500 companies.

Leveraging our deep expertise as a global provider of resources and solutions, we serve a wide range of industry verticals, including BFSI, Automotive, Healthcare, Mobility, Energy, Life Sciences, Manufacturing, Consumer Industries, and Technology.

With over 16 years of experience, VDart has evolved to meet the needs of leading technology brands, placing and training more than 20,000 professionals and shaping the industry's future.

Our continuous reinvention, providing resources for IT solutions and unique digital solutions, has positioned us as a top growth leader in digital talent management and technology consulting.

Committed to "People, Purpose, Planet," we prioritize social responsibility and sustainability, as evidenced by our EcoVadis Bronze Medal Certification and participation in the UN Global Compact.

Our dedication to delivering strong results has earned us recognition as a trusted advisor for businesses seeking to drive innovation and growth, including many Fortune 500 companies.

Join our network! Partner with VDart Group to leverage our global network, industry expertise, and proven track record with a diverse clientele.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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