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Healthcare AI DevOps Engineer
2 months ago
We are seeking a highly skilled Healthcare AI DevOps Engineer to join our team at Norstella. As a key member of our organization, you will be responsible for deploying scalable and efficient NLP technologies, ensuring high-performance integration and management of LLMs on cloud infrastructures.
Responsibilities- Design and oversee AWS cloud architectures optimized for advanced LLM usage, ensuring scalability and robustness of NLP applications.
- Implement and maintain LLM-focused NLP projects from ideation through production deployment, emphasizing innovation in LLM capabilities like Llama3 and Qwen, and leveraging frameworks like Hugging Face.
- Collaborate with data scientists, NLP engineers, cloud specialists, and software developers, ensuring effective implementation and integration of LLMs and Hugging Face tools.
- Develop strategies for cloud-based NLP solutions that ensure cost-efficiency, security, and compliance while supporting rapid model experimentation and deployment using AWS and Hugging Face.
- Maintain rigorous performance standards for LLM-based models, constantly seeking enhancements in model accuracy and operational efficiency.
- Work closely with IT security to ensure stringent data protection standards are met in the deployment and operation of LLMs and related software on AWS.
- Analyze computational resource utilization on AWS, optimizing for cost and performance throughout the lifecycle of LLM development and application.
- Stay updated on the forefront of LLM technologies and tools like Hugging Face, alongside AWS advancements, bringing in industry-leading practices to maintain a competitive edge.
- Regularly deliver impactful insights and updates to the relevant stakeholders, highlighting the strategic value and progress of NLP initiatives.
- Explore emerging trends in NLP and LLM advancements, aiming to leverage new potential applications and improve existing systems.
- Experience working in the Life Sciences or Healthcare industry.
- Bachelor's or Master's in computer science, Data Science, or related fields, with a strong focus on NLP/LLM and cloud solutions.
- Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).
- Minimum of 2 years in NLP systems development and operations, including extensive experience with AWS and expert knowledge of LLMs such as Llama3 and Qwen and familiarity with implementation frameworks like Hugging Face.
- Relevant AWS Certifications (e.g., Solutions Architect, Machine Learning Specialty, DevOps Engineer).
- Expert proficiency in Python and familiar with advanced NLP frameworks and libraries.
- Proven track record in the successful deployment of large-scale NLP solutions in the healthcare or life sciences industry, particularly those involving advanced LLM technologies.
- Strong analytical and communication skills, adept at working on multiple projects in a dynamic environment.
- Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.
- Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Norstella offers a comprehensive benefits package, including medical and prescription drug benefits, health savings accounts (HSA) or flexible spending accounts (FSA), dental and vision benefits, basic life and AD&D benefits, 401(k) retirement plan with company match, company-paid short and long-term disability, paid parental leave, education reimbursement, paid time off, and company holidays.
Our Guiding PrinciplesNorstella is guided by five core principles: Bold, Passionate, and Mission-First; Integrity, Truth, and Reality; Kindness, Empathy, and Grace; Resilience, Mettle, and Perseverance; and Humility, Gratitude, and Learning.