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AI Engineer

Job in Town of Texas, Wisconsin, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-11-25
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: Town of Texas

Mandatory

Skills:

Gen AI/ Python/ Azure OpenAI/ Tensor Flow/ Azure ML/ Bus. Process-Life Sciences

SR. AI Engineer

Skills:

  • Advanced AI Skills
  • Proficiency in Python
  • 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:

  • 10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Med Tech Healthcare Life Sciences domain.
  • Prior experience in identifying new opportunities to optimize the business through analytics, AIML, 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 and optimization of NLP systems, frameworks, and tools.
  • Application Development with LLMs:
    Experience in building scalable applications using LLMs, utilizing frameworks such as Lang Chain, Llama Index, etc., and product ionizing 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., Tensor Flow, PyTorch), hands-on experience in deploying AIML 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.
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