Senior AI/ML Engineer - GenAI & Production Pipelines

V2 Solutions

Hinoba-an

On-site

PHP 1,200,000 - 2,000,000

Full time

14 days+
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Job summary

V2 Solutions seeks an AI/ML Engineer to develop applications and systems that leverage AI tools and cloud AI services, with production-ready pipelines and GenAI model integration. The role spans deep learning, neural networks, chatbots, and image processing to enhance functionality and efficiency.

The candidate will engage in producing production-ready pipelines, ensure quality of applications, and explore advanced AI technologies to improve system performance.

Qualifications

  • Must Have Skills: Proficiency in Machine Learning Operations.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of AI frameworks/libraries such as TensorFlow, PyTorch, or Keras.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Minimum 5 years of experience in Machine Learning Operations.
  • Education: 15 years full-time education.

Responsibilities

  • Act as SME, collaborate and manage the team to perform.
  • Make team-level decisions and guide projects.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for the team and across teams.
  • Mentor and share knowledge within the team to foster collaboration.
  • Continuously evaluate and implement new technologies to improve system performance.

Skills

Machine Learning Operations
AWS
Azure
Google Cloud
TensorFlow
PyTorch
Keras
Docker
Kubernetes
GenAI models

Education

15 years full time education

Tools

Docker
Kubernetes

Job description

V2 Solutions seeks an AI/ML Engineer to develop applications and systems that leverage AI tools and cloud AI services, with production-ready pipelines and GenAI model integration. The role spans deep learning, neural networks, chatbots, and image processing to enhance functionality and efficiency.

The candidate will engage in producing production-ready pipelines, ensure quality of applications, and explore advanced AI technologies to improve system performance.

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