AI Architect

at  Medline Industries Inc

Northfield, IL 60093, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 Sep, 2024Not Specified27 Jun, 2024N/AJava,Interpersonal Skills,Customer Experience,Infrastructure,Design Thinking,Python,Fine Tuning,Operations,Computer Science,Programming Languages,Pandas,Platforms,Scikit Learn,Cloud Computing,R,Information Technology,Machine Learning,Analytical SkillsNoNo
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Description:

Job Summary
Job Description
Medline Industries continues to grow, and grow, and grow. In fact, we’ve enjoyed DOUBLE DIGIT growth in 54 of the past 55 years! And we are AGAIN named as a Chicago Tribune Top Employer! Doesn’t that sound like the kind of place you’d want to join?
Medline Industries has an immediate opening for a highly skilled and experienced Architect to lead our Artificial Intelligence (AI) and Machine Learning (ML) initiatives and drive the development of innovative AI-driven solutions across our organization. The ideal candidate will possess a deep understanding of artificial intelligence, machine learning, and data analytics, combined with a strong background in IT architecture and system integration.
In this role, you will be responsible for designing and implementing scalable AI solutions leveraging ML techniques that address complex business challenges, enhance operational efficiency, and drive digital transformation. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities for AI applications and ensure the successful deployment of AI technologies.

Key Responsibilities:

  • Lead the design, development, and deployment of AI-based solutions and architectures.
  • Lead the design, development, deployment of our ML models, establishing MLOps processes and best practices.
  • Mentor and guide a team of AI, ML, and IT professionals.
  • Develop and maintain a strategic AI roadmap aligned with business goals.
  • Oversee the integration of AI models into existing IT infrastructure and applications.
  • Ensure the scalability, reliability, and security of AI solutions.
  • Troubleshoot platform issues and work with the engineering, infrastructure, and operations teams to resolve them.
  • Stay current with emerging AI and ML technologies and industry trends.
  • Advocate for best practices in AI development and deployment.
  • Measure and report on the impact and performance of AI solutions.
  • Drive adoption of AI solutions through advocacy and education to the broader engineering and operations organizations.

Qualifications:

  • Prefer to have a Bachelor’s or Master’s degree in computer science, information technology, engineering or a related study.
  • Proven experience in AI, MLOps, and machine learning, with a track record of successful AI projects.
  • Experience designing solutions that leverage GenAI technologies, such as LLMs or Foundation Models for other data modalities.
  • Expertise with GenAI concepts (transformer model architectures, prompt engineering, model fine tuning, RAG architectures, patterns, and LLMs/technologies (such as OpenAI, Llama, CoPilot etc.).
  • Strong understanding of IT architecture, cloud computing, and system integration.
  • Proficiency in programming languages such as Python, R, or Java.
  • Proficiency with tools and technologies like:
  • Python Libraries: Scikit-learn, TensorFlow/PyTorch, Pandas
  • Azure Services: Azure Cognitive Services, Azure OpenAI services, Azure Machine Learning, Azure Databricks, Azure Data Factory.
  • Platforms: Power Platform, esp. Power Automate
  • Excellent problem-solving and analytical skills.
  • Strong leadership and project management abilities.
  • Effective communication and interpersonal skills.
  • A customer-centric mindset and interest in leveraging design thinking to develop a deep understanding of what internal and external customers need and deliver solutions that result in a positive customer experience.
  • Solid understanding of the product development life cycle, specifically the relationships that exist between product, development, infrastructure, and operations.
  • Experience with Scrum/Agile software development methodology and modern software delivery practices.
  • Certifications such as Microsoft Certified: Azure AI Engineer Associate etc. are desirable.

Benefits - Medline is committed to offering competitive benefits and a variety of choices to best meet the needs of you and your family. For employees scheduled to work at least 30 hours per week, this includes health and well-being, financial fitness, career development, paid time off and more. Employees scheduled to work less than 30 hours per week can participate in the 401(k) plan, access the Employee Assistance Program (EAP), Employee Resource Groups (ERG) and Medline Service Corps. For a more comprehensive list of our benefits, please click
here
.
Every day, we’re focused on building a more diverse and inclusive company, one that recognizes, values and respects the differences we all bring to the workplace. From doing what’s right to delivering business results, together, we’re better. Explore our Diversity, Equity and Inclusion page. can the underlined be a link to
https://www.medline.com/about-us/inclusion-and-diversity/
Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Responsibilities:

  • Lead the design, development, and deployment of AI-based solutions and architectures.
  • Lead the design, development, deployment of our ML models, establishing MLOps processes and best practices.
  • Mentor and guide a team of AI, ML, and IT professionals.
  • Develop and maintain a strategic AI roadmap aligned with business goals.
  • Oversee the integration of AI models into existing IT infrastructure and applications.
  • Ensure the scalability, reliability, and security of AI solutions.
  • Troubleshoot platform issues and work with the engineering, infrastructure, and operations teams to resolve them.
  • Stay current with emerging AI and ML technologies and industry trends.
  • Advocate for best practices in AI development and deployment.
  • Measure and report on the impact and performance of AI solutions.
  • Drive adoption of AI solutions through advocacy and education to the broader engineering and operations organizations


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Computer Software/Engineering

IT Software - System Programming

Information Technology

Graduate

Computer Science, Engineering, Information Technology, Technology

Proficient

1

Northfield, IL 60093, USA