Machine Learning Engineer

4 weeks ago

Islamabad, Islamabad, Pakistan Embrace IT Pakistan Full time

We are looking for Machine Learning Engineers to join our dynamic team, leveraging their expertise in machine learning and computer vision to solve complex challenges and deliver exceptional results. The ideal candidate has expertise in designing and implementing state-of-the-art machine learning models and contribute to scaling cloud-based infrastructure for machine learning projects.

Key Responsibilities

  1. Develop advanced machine learning models focused on indoor mapping solutions, utilizing computer vision techniques.
  2. Scale, manage, and optimize machine learning infrastructure in the cloud (preferably GCP).
  3. Lead and coordinate external annotation teams, overseeing the data labeling process for ML projects.
  4. Develop rule-based systems to complement and enhance the performance of ML models.
  5. Conduct and manage ML experiments while ensuring production-quality standards, accuracy, and performance metrics are met.

Requirements

  1. Proficient in Python programming for ML and data science
  2. Expertise in machine learning models, image processing, and computer vision solutions
  3. Hands-on experience with PyTorch, TensorFlow, and Jupyter Notebooks
  4. Familiarity with cloud platforms (preferably GCP) and API development
  5. Strong understanding of ML infrastructure and cloud services
  6. Leadership experience in managing data annotation teams and data labeling efforts
  7. Experience in rule-based systems development
  8. Knowledge of ML model scaling and performance optimization
  9. Familiarity with MLOps and CI/CD pipelines for ML deployment

Minimum Qualification: Bachelor's in Computer Science (HEC recognized university).

Experience: 5+ years of related experience.

Salary Package: Market Competitive with additional benefits.

Note: This is a full-time office-based job and only eligible candidates may apply.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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