AI Developer

Job not on LinkedIn

🕒 November 24, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 59%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Advancio

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Advancio is an IT outsourcing company that specializes in cutting-edge application development and digital transformation. With a focus on innovative technologies such as machine learning, cognitive AI, and cloud infrastructure, Advancio provides extensive IT services including software development, data analytics, and quality assurance. Their commitment to empowering organizations and delivering top-tier tech solutions positions them as a dedicated partner in navigating the complexities of modern technology.

📋 Description

• Design, develop, and deploy intelligent solutions that solve complex problems. • 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.

🏖️ Benefits

• Flexible work arrangements • Professional development