AIML Platform Engineer GCP Focus
AIML Platform Engineer GCP Focus
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1 Vacancy
Job Description
Role: AI/ML Platform Engineer (GCP Focus)
Duration: 12 Months
Location: Bay Area (Concord CA & San Francisco CA) and Charlotte NC (Onsite)
Description:
- AI/ML Platform Engineer (GCP Focus)
- We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Google Cloud Platform (GCP) 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 GCP. 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
- 13 years of experience in Google Cloud Platform.
Key Responsibilities
- Build robust AI/ML platforms on GCP ensuring scalability reliability and performance.
- Set up and maintain GCP 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 GCP.
- Experience with machine learning frameworks and libraries such as TensorFlow PyTorch or Scikitlearn.
- Experience in Terraform and Helm will be an advantage.
- Experience in implementing inferencing benchmarking and finetuning of Generative AI models using GCP 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 problemsolving skills and the ability to work in a fastpaced environment.
- Strong communication and collaboration skills to work effectively with crossfunctional teams.
- 2 years of designing developing testing and optimizing python microservices using gRPC
- 2 years of Python development experience
- 3 years of Linux experience
Employment Type
Full Time
