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Manpower Vietnam

Senior Machine Learning Engineer

Fresher
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  • Posted 13 days ago
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Job Description

Role Overview:

We are seeking a highly skilled and experienced engineer to design, develop, and optimize a GenAI-enabled application. The ideal candidate will have a strong background in building scalable back-end services, working with GenAI technologies, and managing data lakes. This role requires close collaboration with senior engineers and business teams to deliver a cutting-edge solution hosted on Google Cloud Platform (GCP).

Key Responsibilities:

GenAI Application Development:

  • Build and deploy GenAI-enabled applications with a focus on scalability, performance, and security.
  • Develop GenAI capabilities in a local environment and scale them to be hosted on GCP.

Cloud Environment Expertise:

  • Work within the GCP ecosystem, specifically leveraging Vertex AI for machine learning and AI workflows.
  • Integrate and utilize OpenAI technologies, including the ADK framework.

Front-end development: work with business to optimize current UI developed in Lovable and Cursor

Back-End Development:

  • Design and implement robust back-end services that seamlessly connect to the user interface (UI).
  • Ensure smooth integration of GenAI capabilities into the application architecture.

Data Lake Management:

  • Build, regulate, and optimize a data lake to handle diverse data sources, including internal files and web-based data.
  • Ensure data pipelines are efficient, secure, and scalable.

Optimization and Maintenance:

  • Continuously improve application speed, accuracy, and security.
  • Monitor and fine-tune system performance to meet evolving requirements.

Collaboration and Guidance Implementation:

  • Work closely with our senior engineers and business teams to align technical solutions with business objectives.
  • Incorporate feedback and guidance into the development process.

What you'll get:

  • Competitive salary: $8.000 - 10.000/month
  • Fully remote working type.
  • Project-based.

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About Company

Job ID: 144725629

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