AI Implementation Analyst

Position Summary

J&W Services is seeking an AI Innovation Analyst to lead the identification, development, and deployment of artificial intelligence and automation solutions that improve field operations, customer service, asset management, and back-office efficiency in the oil and gas wellhead manufacturing & service business.

Key Responsibilities

- Identify high-impact AI and automation opportunities specific to mechanical, electrical, material, and facilities maintenance (predictive maintenance, work-order routing, inventory optimization, technician scheduling, customer communication, etc.).

- Build, test, and deploy AI-powered solutions including wellhead specific LLM, predictive maintenance models, computer-vision inspection tools, automated quoting engines, and workflow automations.

- Clean, structure, and prepare company data (service history, asset records, IoT sensor data, billing, etc.) for use in machine-learning models.

- Integrate AI tools with existing systems (Syteline, QuickBooks, Microsoft, or similar field service software).

- Research and pilot emerging AI technologies relevant to the trades (e.g., generative AI for scope-of-work writing, computer vision for equipment diagnostics, NLP for customer inquiry handling).

- Collaborate with field operations, accounting, and sales teams to ensure solutions are practical, adopted, and deliver measurable ROI.

- Establish and maintain AI governance, data privacy, and ethical-use standards in line with industry’s best practices.

- Software for visual inspection of wellhead equipment using machine learning.

- Track and report ROI of AI initiatives (time saved, cost reduction, customer satisfaction improvement).

- Develop software for image and computer vision-based monitoring of wellhead equipment.

- Deploy machine learning models into production environments through cloud platforms such as AWS or on-premises infrastructure.

- Conduct data mining and exploratory data analysis to identify patterns that inform model development and business strategies.

- Utilize natural language processing techniques to enhance AI applications involving text analysis or conversational agents.

- Support model maintenance by monitoring performance metrics and retraining models as needed for continuous improvement.

- Document processes thoroughly to ensure transparency, reproducibility, and compliance with organizational standards.

Skills

- Bachelor’s degree in computer science, Data Science, AI Engineering, Information Systems, or equivalent experience.

- Extensive experience with machine learning frameworks such as TensorFlow, SAS Viya, Spark MLlib, and other relevant tools.

- Knowledge of cloud computing platforms like AWS for scalable model deployment and management.

- Strong data wrangling skills (SQL, Excel/Sheets, Power BI or Tableau is a plus).

- Solid understanding of database design principles along with hands-on experience with SQL and linked data concepts.

- Familiarity with natural language processing (NLP), unsupervised learning methods, and quantum engineering principles related to AI advancements.

- Ability to perform data mining, analytics, and visualization using tools like Looker or similar platforms to communicate insights effectively.

- Experience with ETL tools such as Talend for data integration tasks across complex systems.

- Strong analytical skills combined with a proactive approach to problem-solving in fast-paced environments. Embark on a journey where your passion for AI meets real-world impact! Passion for the skilled trades and improving life for technicians and customers!

Job Type: Full-time

Pay: From $105,000.00 per year

Benefits:

- 401(k)

- 401(k) matching

- Dental insurance

- Flexible schedule

- Health insurance

- Paid time off

- Relocation assistance

- Retirement plan

- Vision insurance

Work Location: In person