NLP LLM Operations Architect & AWS Engineer

We are actively seeking a specialized NLP LLM Operations Architect & AWS Engineer well-versed in AWS and experienced with cutting-edge open-source Large Language Models (LLMs) like Llama and Qwen, and familiar with using frameworks like Hugging Face for model implementation. In this crucial role at Norstella you will be responsible for deploying scalable and efficient NLP technologies, ensuring high-performance integration and management of LLMs on cloud infrastructures. Your role will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma and accelerate treatment access to patients with unmet need. 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.

Qualifications:

• Bachelor’s or master’s in computer science, Data Science, or related fields, with a strong focus on NLP and cloud solutions.
• 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, particularly those involving advanced LLM technologies.
• Experience working in the healthcare or life sciences industry is required.
• Strong analytical and communication skills, adept at working on multiple projects in a dynamic environment.

Benefits:

• Medical and prescription drug benefits
• Health savings accounts or flexible spending accounts
• Dental plans and vision benefits
• Basic life and AD&D Benefits
• 401k retirement plan
• Short- and Long-Term Disability
• Paid parental leave
• Paid time off
• principles for success at Norstella

01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere – even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expect Apply tot his job Apply To this Job