Remote ML Engineer — Build & Deploy Scalable AI Models

Quik Hire Staffing

Indonesia

Remote

IDR 2,123,518,000 - 3,185,277,000

Full time

6 days ago
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Job summary

Quik Hire Staffing is seeking a Machine Learning Engineer for a remote, full-time role with one of our clients. You will design, develop, and deploy ML models to solve business challenges, collaborating with cross-functional teams to integrate AI into existing systems.

You should have strong Python skills, experience with TensorFlow or PyTorch, and familiarity with cloud platforms (AWS, Google Cloud, Azure).

Qualifications

  • Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
  • Strong background in data structures, algorithms, and statistical modeling techniques.
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
  • Knowledge of SQL and databases for data extraction and preprocessing tasks.
  • Familiarity with version control systems and collaborative development workflows.
  • Understanding of MLOps practices for model monitoring, logging, and continuous integration.
  • Experience with hyperparameter tuning and model optimization techniques.

Responsibilities

  • Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.
  • Collaborate with data scientists and software engineers to deploy models into production environments.
  • Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
  • Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
  • Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Skills

Python
TensorFlow
PyTorch
Data structures
Algorithms
Statistics
Cloud platforms
SQL
Git
MLOps
Hyperparameter tuning

Tools

Git

Job description

Quik Hire Staffing is seeking a Machine Learning Engineer for a remote, full-time role with one of our clients. You will design, develop, and deploy ML models to solve business challenges, collaborating with cross-functional teams to integrate AI into existing systems.

You should have strong Python skills, experience with TensorFlow or PyTorch, and familiarity with cloud platforms (AWS, Google Cloud, Azure).

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