Machine Learning Engineer

1 week ago

Lahore, Punjab, Pakistan beBee Careers Full time
Job Description

We are seeking motivated and self-driven individuals to join our team in projects focused on developing new technologies in Operational Technology. Our goal is to create innovative solutions that drive business value through the application of machine learning and deep learning methods.

Roles & Responsibilities
The selected candidates will:
  • Design, implement, and research algorithms in deep learning, machine learning, and statistical models.
  • Contribute to research projects that develop a variety of algorithms and systems for time series data analysis.
  • Improve existing data pipelines and toolsets using deep learning and machine learning methods.
  • Closely collaborate with the Data Engineering team to build AI solutions according to client requirements.
  • Document solution architecture and lessons learned for each exploration and accelerated incubation project.
  • Work with stakeholders and project teams to provide feedback and enable necessary changes in product performance or presentation.

Key Skills and Qualifications
The ideal candidate should have:
  • Experience in building systems based on machine learning and/or deep learning methods.
  • Strong hands-on experience in Python programming.
  • Practical experience with libraries such as pandas, NumPy, matplotlib, and scikit-learn.
  • Proficiency with deep learning frameworks such as TensorFlow and PyTorch.
  • Experience with state-of-the-art deep learning and machine learning models for time series data.
  • Good understanding and experience with SQL and NoSQL databases.
  • Knowledge of Data Lake and Data Marts.
  • Familiarity with cloud environments, particularly Azure.

Eligibility Requirements
To be eligible for this position, you should have:
  • Graduate degree in Computer Science, Electrical Engineering, or Robotics with a focus on Deep Learning, Machine Learning, or Data Engineering.
  • Availability to work full-time (approximately 40 hours per week) during a 10–12-week period.

About the Role
This is an exciting opportunity to work on cutting-edge machine learning projects and contribute to the development of innovative solutions. If you are passionate about machine learning and have a strong background in computer science, we encourage you to apply.

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