Senior AI Expert at Plano, Texas, USA |
Email: [email protected] |
From: Ashley, NCS [email protected] Reply to: [email protected] Title : Senior AI Expert Location : Plano TX JD : Required Qualifications: - Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the MedTech/Healthcare/Life Sciences domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. - Characterize system performance (hemodynamics, blood compatibility, ease of use, strength and reliability, algorithms and software), draw conclusions from analysis and tests, and interpret the implications by using tools like Matlab, Python and R - Participate in project team development activities; provide supports and ideas from testing standpoint to help with development efforts include designing and executing exploratory tests to home in on the best design option. - Coordinate with project leaders and conduct technical design reviews to drive project to a conclusion. - Own system verification plans, and protocols - Design and execute tests to verify products against specifications. - Maintain the test lab to ensure effective use and operation - Participate and lead brainstorming efforts Qualifications - BS degree in engineering required. - 8+ years of experience or equivalent, medical device experience preferable. - Experience in blood loop design for hemodynamics testing. - Strong conceptual design, engineering and statistical analytical skills, detailed design and testing skills required - Hands on with test equipment. - Passionate about knowing how and why things fail. - Passionate about improving the performance of existing products. - Some programming experience preferred Keywords: artificial intelligence machine learning rlang Texas Senior AI Expert [email protected] |
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Fri Apr 12 20:10:00 UTC 2024 |