M

Machine Learning Engineer

micro1 • Apac
Remote
This Job is No Longer Active This position is no longer accepting applications

Job Description

Job Title: Machine Learning Engineer


Job Type: Full-Time


Location: Remote


About us:

micro1 connects exceptional talent to transformative projects. We’re here to provide not just a job, but a platform for you to grow and achieve your career goals. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft.


What We Offer:

  • Work from anywhere
  • Healthcare reimbursement
  • Wi-Fi reimbursement
  • Unlimited learning and more.


Job Summary:

At micro1, we are shaping the future of work by connecting remote professionals with Silicon Valley's most innovative companies. As a Machine Learning Engineer, you will play a pivotal role in developing cutting-edge data-driven models and algorithms. Join us to work flexibly, impactfully, and meaningfully while growing in your career alongside trusted partners like Deel, Immutable, O’Gara, and LegalSoft.


Key Responsibilities:

  • Develop robust machine learning algorithms using Tensorflow and Scikit-Learn.
  • Perform data preprocessing to ensure clean and well-structured datasets.
  • Test model accuracy and iteratively improve algorithm performance.
  • Collaborate with data teams to integrate models into production environments.
  • Document processes and results with a keen eye for detail and clarity.
  • Stay updated with the latest industry trends and technologies.
  • Ensure models adhere to ethical standards and compliance requirements.


Required Skills and Qualifications:

  • Proficient in Python and machine learning frameworks like Tensorflow and Scikit-Learn.
  • Strong experience in data preprocessing techniques and tools.
  • Excellent written and verbal communication skills.
  • Ability to work efficiently in a remote team environment.
  • Demonstrated problem-solving skills and a proactive approach to tackling challenges.


Preferred Qualifications:

• Familiarity with DevOps practices for managing ML pipelines.

• Experience in collaborating with cross-functional teams.

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