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Sr. AI Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Suriname

Offer summary

Qualifications:

2+ years applying large language models, Experience with Kubernetes, Python, CUDA.

Key responsabilities:

  • Implement, train, fine-tune, and optimize LLMs for healthcare applications
  • Utilize Kubernetes for deployment and scaling of LLMs
  • Oversee data preprocessing quality for LLMs
  • Apply RAG and DPO methods to enhance model outputs
  • Stay updated with open-source LLM technologies
AAPC logo
AAPC SME https://www.aapc.com/
51 - 200 Employees
About AAPC
AAPC was founded in 1988 to provide education and professional certification to physician-based medical coders and to elevate the standards of medical coding by providing student training, certification, ongoing education, networking, and job opportunities. Since then, AAPC has expanded beyond coding to include training and credentials in documentation and coding audits, regulatory compliance, and physician practice management. AAPC's membership includes over 200,000 healthcare professionals worldwide, of which more than 100,000 are certified. AAPC has the largest network of billing, coding, auditing, and practice management professionals. We provide a suite of software and services that support healthcare organizations with training, accreditation, and the tools necessary to ensure revenue optimization. Learn more at this link: https://www.aapc.com/business/auditing-and-coding-services.aspx AAPC certifications encompass the entire business side of provider care, with physician coding (CPC®), hospital outpatient facility (COC®), hospital inpatient facility (CIC®), risk adjustment coding (CRC®), payer perspective coding (CPC-P®), practice management (CPPM™), and more. All certifications demonstrate a hands-on, working knowledge to support cleaner claim submissions, faster reimbursement, fewer denials, and better run practices. Specialty coding credentials are currently offered in 20 different fields of expertise. AAPC offers continuing education for all credentials through local chapters, workshops, webinars, a monthly newsmagazine (Healthcare Business Monthly), other publications, and conferences.
See more AAPC offers

Job description

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Your missions

Semantic Health is on a mission to improve care delivery and operational inefficiencies by transforming the use of unstructured data in healthcare's revenue cycle. Our machine learning powered medical coding and auditing platform uses cutting edge deep learning to streamline manual and error-prone medical coding and auditing processes in health organizations. We help health organizations improve data quality, optimize reimbursements, and enable real-time access to actionable data for use across the health system.

At Semantic Health, we combine the clinical and business expertise of doctors and successful entrepreneurs, with the technical skillset of top ML researchers. We are backed by leading institutional investors who have driven companies our size to multi- billion dollar valuations.

We’re seeking a motivated and driven scientist to work on our foundation language models. We value scrappy and product-focused thinkers that thrive by solving complex and challenging problems.

As an Applied Scientist - LLM, you will:
  • Implement, train, fine-tune, and optimize LLMs for specific applications in healthcare, ensuring their accuracy and efficiency.
  • Utilize Kubernetes and containerization for the deployment and scaling of LLMs across multiple GPUs and servers.
  • Oversee the process of data preprocessing, ensuring the quality and relevancy of data fed into the LLMs.
  • Apply methods such as Retrieval-Augmented Generation (RAG) and Direct Preference Optimization (DPO) for enhancing model outputs.
  • Stay current with the latest advancements in open-source LLM technologies.
  • Work closely with ML engineers, software engineers, and healthcare professionals to integrate LLM solutions into practical applications.
You will have experience in:
  • Applying and refining large language models, preferably with 2+ years in the field.
  • Kubernetes, container technologies, and multi-GPU deployment strategies.
  • Python, with experience in frameworks like PyTorch or TensorFlow. Familiarity with CUDA for GPU acceleration.
  • Data cleaning, preprocessing, and manipulation, with at least 2 years of work in this area.
  • Fine-tuning LLMs for specific tasks or industries, particularly in a Q&A context.
  • LLM frameworks and models like LangChain, OpenLLM, vLLM, and Llama2.
Bonus points if you have experience with:
  • Prior work with healthcare datasets, understanding of medical terminologies and compliance (e.g., HIPAA).
Compensation will be competitive to the market and will consist of cash and stock
options, as well as benefits. We are currently a remote team and plan to continue
working remotely.

We are an Equal Opportunity Employer. This company does not and will not discriminate in employment and personnel practices on the basis of race, sex, age, disability, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data CompilationLarge Language ModelsKubernetesPythonCUDAPyTorchTensorFlow

Soft Skills

  • Driven Attitude
  • Motivation
Are you interested?

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