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AI Specialist

Role Overview

As an AI Specialist at United Field Services, you will be responsible for designing, building, and implementing AI-driven solutions that enhance our operational efficiency and product offerings. You’ll work closely with cross-functional teams—from engineering to product management—to integrate AI models (including large language models like ChatGPT) into our systems. This is an exciting opportunity for someone passionate about leveraging artificial intelligence to solve real-world problems and drive business value.

Key Responsibilities

  • AI Model Integration: Develop and integrate advanced AI models (e.g., ChatGPT) into our existing platforms and workflows to automate and enhance various business processes.
  • Data Pipeline Development: Collaborate with data engineers to design robust data pipelines that support model training, deployment, and real-time inference.
  • Model Training & Fine-Tuning: Fine-tune language models using proprietary datasets to improve performance, accuracy, and relevance in our specific use cases.
  • Collaboration & Communication: Work cross-functionally with product managers, software engineers, and stakeholders to identify AI opportunities, define project goals, and deliver innovative solutions.
  • Quality Assurance & Troubleshooting: Ensure that the AI components are reliable, scalable, and meet strict quality standards. Investigate and resolve technical issues in a timely manner.
  • Research & Innovation: Stay up to date with the latest AI and NLP research, tools, and best practices. Propose and implement new AI-driven features and improvements.

Required Qualifications

  • Education & Experience:
    • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field (or equivalent practical experience).
    • Demonstrated experience developing and deploying AI or NLP models in a production environment.
  • Technical Expertise:
    • Proficiency in Python (preferred) or another programming language commonly used for AI/ML.
    • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
    • Experience working with large language models (ChatGPT, GPT-3/4, BERT, etc.) and integrating them into real-world applications.
    • Understanding of data structures, algorithms, and machine learning fundamentals.
  • Problem-Solving Skills:
    • Ability to dissect complex business problems and translate them into actionable AI solutions.
    • Comfort with building proof-of-concepts to validate new ideas and refine solutions iteratively.
  • Collaboration & Communication:
    • Excellent verbal and written communication skills.
    • Ability to work effectively with cross-functional teams in a remote environment.

Preferred Qualifications

  • Industry Background: Familiarity with field services, property inspection, or real estate domains.
  • Cloud Experience: Experience deploying AI solutions on AWS, Azure, or GCP.
  • MLOps: Knowledge of CI/CD pipelines for machine learning (e.g., containerization, model versioning, and automated deployment).
  • Security & Compliance: Understanding of data privacy and compliance regulations relevant to AI (e.g., GDPR, CCPA).

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Specialist, United Field Services, Inc.

Are you passionate about artificial intelligence and want to revolutionize the way businesses operate? Join United Field Services as an AI Specialist! In this vibrant role, you'll immerse yourself in designing, building, and implementing AI-driven solutions that elevate our operational efficiency and product offerings. Collaborating closely with cross-functional teams, including engineering and product management, you’ll have the opportunity to integrate cutting-edge AI models like ChatGPT into our systems. Picture yourself developing robust data pipelines with data engineers, fine-tuning language models to enhance performance, and identifying innovative AI opportunities to drive impactful results. Your day-to-day will also involve ensuring that our AI components are reliable and scalable while staying updated with the latest AI and NLP research. At United Field Services, we pride ourselves on fostering a dynamic environment where your problem-solving skills can shine. If you're ready to tackle real-world challenges with AI, we want to hear from you!

Frequently Asked Questions (FAQs) for AI Specialist Role at United Field Services, Inc.
What does an AI Specialist do at United Field Services?

As an AI Specialist at United Field Services, you're responsible for designing and implementing AI solutions that improve operational efficiency. This includes integrating advanced AI models like ChatGPT into workflows, collaborating on data pipeline development, and ensuring quality assurance of AI components.

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What qualifications are needed for the AI Specialist position at United Field Services?

To qualify for the AI Specialist position at United Field Services, candidates should ideally have a Bachelor’s or Master’s degree in a related field, along with demonstrated experience in deploying AI or NLP models. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch are also essential.

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What are the key responsibilities of the AI Specialist role at United Field Services?

The AI Specialist at United Field Services is responsible for tasks such as AI model integration, data pipeline development, model training and fine-tuning, and collaboration with cross-functional teams to deliver innovative AI-driven solutions that meet business needs.

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What programming languages do I need to know for the AI Specialist position at United Field Services?

For the AI Specialist role at United Field Services, proficiency in Python is preferred, though experience with other programming languages commonly used in AI and machine learning can also be beneficial.

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Is experience with cloud platforms important for the AI Specialist position at United Field Services?

Yes, having experience with cloud platforms like AWS, Azure, or GCP is preferred for the AI Specialist role at United Field Services, especially when deploying AI solutions.

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Common Interview Questions for AI Specialist
Can you explain your experience with integrating AI models in production environments?

In your answer, discuss specific projects where you've successfully integrated AI models, the challenges faced, and how you ensured efficiency and reliability in those implementations.

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How do you approach fine-tuning AI models?

Describe your methodology for fine-tuning models, including data selection and preprocessing, the metrics you use to evaluate performance, and any customization techniques you’ve successfully applied.

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What machine learning frameworks and libraries are you most familiar with?

Be prepared to list frameworks like TensorFlow or PyTorch you have worked with, and discuss specific projects where you've utilized these tools to build models, highlighting particular features you found beneficial.

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How do you handle quality assurance for AI components?

Discuss your strategies for testing and validating AI components, including automated testing processes, user feedback mechanisms, and troubleshooting methods to resolve issues efficiently.

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Can you give an example of a complex business problem you solved with AI?

Choose a relevant example that showcases your problem-solving abilities. Discuss how you identified the problem, the AI solution proposed, and its impact on the business.

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What are some recent developments in AI or NLP that excite you?

Share recent innovations or research in the field that you find particularly interesting and explain why they could be impactful for businesses or industries.

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How do you collaborate with cross-functional teams?

Illustrate your collaborative approach by giving examples of how you've effectively communicated with team members from different disciplines and how this has led to successful project outcomes.

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What tools do you use for data pipeline development?

Mention specific tools or frameworks you’re comfortable with for developing data pipelines, and explain how they have improved your data management processes in past projects.

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How do you keep up with the fast-paced developments in AI technology?

Talk about the resources you utilize, such as research papers, online courses, webinars, and industry conferences, to ensure you remain informed about the latest trends and techniques.

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What is your experience with deploying AI solutions on cloud services?

Discuss your practical experience with deploying AI models on platforms like AWS or Azure, highlighting specific projects where cloud infrastructure was critical to the solution’s success.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
February 19, 2025

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