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Job Details
Remote AI Engineer for an Educational Company in PA!
- Salary: $105,000 - $145,000 per year
- Location: Remote (Must reside in DE, FL, MD, NJ, PA, or TX)
About Us
We continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, we take a well-informed, robust approach to advancing medical education and assessment for years to come.
Why Join Us?
- Competitive Base Salary!
- Excellent Benefits Package!
- Flexible Work Schedules!
- Accelerated Career Growth!
The Role
We are seeking a highly skilled REMOTE AI Engineer to join our small team and take ownership of building, maintaining, and scaling AI-driven systems. This role is critical for translating research innovations into production-ready pipelines and tools.
What You Will Be Doing
- Design, implement, and maintain production-grade AI and NLP pipelines, including model training, deployment, monitoring, and updates.
- Collaborate with research teams to operationalize prototypes, ensuring reproducibility, scalability, and robustness.
- Prototype, build, and maintain infrastructure for embeddings, large language models, and other AI assets.
- Optimize AI systems for performance, reliability, and cost-efficiency.
- Deploy, implement, and monitor logging and alerting for AI systems in production.
- Ensure compliance with data security, privacy, and organizational standards.
- Support multiple product teams by providing AI engineering expertise, tools, and best practices.
- Contribute to technical documentation, knowledge sharing, and internal training initiatives.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum 5 years of experience in AI/ML engineering, including model deployment, MLOps, system monitoring, and production pipelines.
- Proficiency with Python and AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Experience with cloud platforms (AWS is required, GCP/Azure are a plus) and containerization (Docker, Kubernetes).
- Familiarity with vector databases, embeddings, and large-scale NLP applications.
- Experience in educational assessment or healthcare-related AI applications.
- Experience with Agentic LLM architectures for complex task completion.
Jobot is an Equal Opportunity Employer.