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Hyre

AI Developer

Posted 8 hours ago
2-5 years experience
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AI Summary

You will design, train, and implement machine learning models while assisting in the optimization of data pipelines. Additionally, you will integrate AI APIs into software applications and manage the deployment and scaling of models in production environments.

Role Overview

We are seeking an innovative and skilled AI Developer to design, build, and deploy artificial intelligence and machine learning solutions. This role requires a strong foundational expertise in AI development with the capacity to take on high-level technical challenges and guide project architecture. You will be instrumental in bridging the gap between raw data and intelligent, automated product features, working closely with our engineering and product teams to bring AI concepts into production.

Key Responsibilities

  • Model Development: Design, train, and implement machine learning models and AI algorithms tailored to specific business needs.

  • Data Engineering: Assist in building and optimizing data pipelines, ensuring that data gathering, cleaning, and preprocessing are handled efficiently.

  • API Integration: Integrate both custom-built models and third-party AI APIs (such as Large Language Models) into existing software applications.

  • Deployment & Scaling: Deploy AI models into production environments, ensuring they are scalable, efficient, and reliable.

  • Testing & Optimization: Continuously monitor model performance, fine-tuning and retraining as necessary to maintain high accuracy and reduce bias.

Requirements & Qualifications

  • Experience: 3–5+ years of professional experience in software engineering, with a strong, proven focus on Artificial Intelligence and Machine Learning.

  • Programming Languages: Familiarity with other languages like Python, C++, Java, or JavaScript is a plus.

  • AI/ML Frameworks: Experience with industry-standard machine learning libraries and frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras).

  • Cloud & MLOps: Familiarity with deploying models on cloud platforms (AWS, Google Cloud, or Azure) and understanding of MLOps best practices.

  • Analytical Skills: Strong foundation in mathematics, statistics, and complex algorithms.

  • Autonomy: Highly self-motivated with the ability to take a project from conceptualization to deployment, comfortably bridging mid-level execution and senior-level architectural decisions.

Schedule & Work Arrangement

  • Employment Type: Full Time

  • Location: Remote

  • Working Hours: US Business Hours

Benefits of working for Hyre

  • Performance-based raises.

  • Minimum 5 days off annually (paid or unpaid based on client terms)

  • Annual cost-of-living adjustments at your one-year anniversary.

  • Opportunities for continuous career growth.

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