AI Engineer

TechDigital Group; Santa Clara (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Senior AI Engineer to drive innovation in the MedTech sector. This role requires extensive experience in developing AI and ML solutions, particularly with generative AI and large language models. The ideal candidate will possess a strong background in Python and cloud computing, specifically with Azure services. You will be responsible for building scalable applications, optimizing NLP systems, and utilizing advanced AI techniques to enhance business processes. Join a forward-thinking team where your expertise will shape the future of healthcare technology and make a significant impact on life sciences.

Qualifications

• 10+ years of experience in AI and ML solutions, especially in MedTech.
• Strong analytical skills with a focus on business optimization through AI.

Responsibilities

• Develop scalable applications using LLMs and optimize NLP systems.
• Conduct data analysis for training and fine-tuning language models.

Skills

Advanced AI Skills

Proficiency in Python

Generative AI

Large Language Models (LLMs)

Cloud Computing

UNIX/Linux environments

Machine Learning Algorithms

Deep Learning

Natural Language Processing

Data Analysis

Education

Graduate or Doctorate degree in IT

Specialization in Natural Language Processing

Tools

Azure OpenAI

TensorFlow

Azure ML

LangChain

LlamaIndex

Job description

Mandatory Skills: Gen AI/ Python/ Azure OpenAI/ TensorFlow/ Azure ML/ Bus. Process-Life Sciences

SR. AI Engineer

Skills:

1. Advanced AI Skills
2. Proficiency in Python
3. 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:

1. 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.
2. Prior experience in identifying new opportunities to optimize the business through analytics, AIML, and use case prioritization.
3. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise.
4. 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.
5. 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.
6. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications.
7. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services.
8. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools.
9. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models.
10. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, 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.
11. Responsibilities also include data analysis preprocessing for training and fine-tuning language models.