Job Url: https://www.remoterocketship.com/company/getagents-co/jobs/ai-engineer-united-states-remote/

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Great talent is global 🌏 - We help you hire top-tier, specialty, and senior talent globally.


2 - 10 employees

AI Engineer
4 days ago

🇺🇸 United States – Remote

💵 $150k - $200k / year

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🦅 H1B Visa Sponsor

AWS

Azure

Cloud

Docker

ETL

Google Cloud Platform

Java

NoSQL

Python

PyTorch

Scikit-Learn

Spark

SQL

Tensorflow

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📋 Description
• Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.
• Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.
• Rapidly prototype AI features and deploy robust solutions
• Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.
• Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.
• Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation.

🎯 Requirements
• Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.
• 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.
• Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain).
• Proficiency in Python (or Java/R)
• Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.
• Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps tools
• Strong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessing
• Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail.

🏖️ Benefits
• unlimited PTO
• highly flexible work schedule
• opportunity to work across many disciplines