AI/ML Expert

TechDigital Group; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

TechDigital Group is seeking an NLP and Generative AI lead with 8–10 years of experience to architect and implement AI/ML solutions in the MedTech/Healthcare/Life Sciences domain. The role emphasizes NLP system design, LLM fine-tuning, and scalable application development using LangChain and LlamaIndex, with production deployment on Azure or Kubernetes.

The ideal candidate combines technical depth in Python and deep learning frameworks with strong business sense to identify high-impact

Qualifications

• Educational qualifications: Graduate or Doctorate in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or related field.
• 8–10 years experience in developing Data Science, AI, and ML solutions with focus on generative AI and LLMs in MedTech/Healthcare/Life Sciences.
• Experience in identifying opportunities to optimize business through analytics, AI/ML and use case prioritization.
• Strong analytical business acumen paired with domain and technical expertise.

Responsibilities

• Data analysis/preprocessing for training and fine-tuning language models.
• Develop scalable applications using LLMs with frameworks like LangChain, LlamaIndex, and productionize ML/AI models.
• Design and optimize NLP systems and architectures, including Azure OpenAI integrations.
• Deploy AI components as services/REST APIs on Cloud or Kubernetes and test them thoroughly.

Skills

NLP (Natural Language Processing)

Generative AI

LLM

Python

UNIX/Linux

Education

Graduate or Doctorate in IT/CS/AI or related field (NLP specialization preferred)

Tools

LangChain

LlamaIndex

Azure

TensorFlow

PyTorch

Job description

NLP (Natural Language Processing)

Generative AI & Large Language Models (LLM)

Python Skills

• 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.