Materials Handler

TechDigital Group; Indianapolis (IN); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Senior AI Engineer with extensive experience in generative AI and large language models, particularly within the MedTech Healthcare Life Sciences sector. This role involves leveraging advanced AI skills to develop innovative solutions, optimize business processes, and build scalable applications using cutting-edge frameworks. The ideal candidate will possess a strong background in Python, cloud computing, and machine learning, along with a passion for driving analytics and AI advancements. Join a dynamic team where your expertise will contribute to transformative projects and shape the future of technology in healthcare.

Qualifications

• 10+ years of experience in Data Science, AI, and ML solutions.
• Specialization in Natural Language Processing is preferred.

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

Large Language Model Expertise

Cloud Computing Expertise

Technical Proficiency in UNIX/Linux

Machine Learning Algorithms

Deep Learning Frameworks

Education

Graduate or Doctorate degree in IT or related fields

Tools

Azure OpenAI

TensorFlow

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-level 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 developed AI components.
11. Responsibilities also include data analysis preprocessing for training and fine-tuning language models.