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Open nowPosted 333 days ago

AI Developer Based in U.S.A

Advancio, Inc36 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowAI Developer Based in U.S.AAdvancio, Inc · Remote
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 333 days ago

The posting

Who We Are: At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love! Job Summary: We are seeking a talented AI Developer to design, develop, and deploy intelligent solutions that solve complex problems. The ideal candidate has hands-on experience with machine learning frameworks, AI algorithms, and integrating AI models into scalable applications. What will you do: Develop and implement AI and machine learning models to solve specific business challenges. Collaborate with cross-functional teams to identify opportunities for AI-driven solutions. Train, fine-tune, and deploy models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Design and optimize AI pipelines for data preprocessing, model training, and deployment. Build and maintain APIs or microservices to integrate AI solutions into existing applications. Monitor and evaluate the performance of deployed models, ensuring scalability and reliability. Stay updated with the latest advancements in AI/ML technologies and best practices. Requirements 4+ years of professional experience in AI/ML development. Advanced English communication skills, both written and verbal. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras. Experience in data preprocessing, feature engineering, and working with large datasets. Knowledge of cloud platforms (Azure, AWS, or GCP) and deploying AI models in production. Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Strong understanding of algorithms, data structures, and mathematics behind AI models.

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