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Remote AI/ML Engineer

micro1  ·  nan, · Remote

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About the job

About Us:

We're passionate about connecting top-tier remote developers with handpicked Silicon Valley companies. Our goal is to provide developers with competitive and stable income and access to the best companies in the industry, all while offering them a flexible work environment and a host of amazing benefits. We're proud to work with trusted partners such as Webflow, IMX, Deel, Immutable, O’Gara, LegalSoft, and more.

What we offer

  • Lots of PTO
  • Healthcare insurance
  • Wi-Fi costs covered
  • Unlimited Udemy courses (and books)
  • and much more

Job Role

We are looking for a talented and experienced AI/ML Engineer to join our dynamic team. As a Senior Machine Learning Engineer, you will lead the design, implementation, and optimization of complex ML models and algorithms, collaborating closely with data scientists, engineers, and product teams to deliver robust, scalable AI solutions.

Key Responsibilities

  • Design and implement machine learning models focused on NLP, predictive analytics, or image processing.
  • Oversee data gathering, preprocessing, and augmentation to ensure high-quality model input.
  • Optimize algorithms for performance, scalability, and accuracy.
  • Regularly assess model performance, enhancing accuracy and reducing bias
  • Collaborate with cross-functional teams to integrate ML models into production environment.
  • Maintain comprehensive documentation to ensure transparency and knowledge sharing.
  • Stay updated on industry trends and continuously refine best practices.

Required Qualifications

  • 5+ years of hands-on experience in machine learning and AI model deployment
  • Proficiency in Python and ML libraries like TensorFlow, PyTorch, and Scikit-Learn
  • Experience with cloud services such as AWS, GCP, or Azure
  • Familiarity with big data frameworks and databases like Spark, Hadoop, SQL, and NoSQL.
  • Strong background in NLP, computer vision, or reinforcement learning.
  • Proficient in data preprocessing, feature engineering, and handling large datasets.
  • Excellent analytical skills with a track record of solving complex challenges.
  • Ability to communicate effectively with both technical and non-technical stakeholders.

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