Artificial Intelligence & Analytics Solutions Engineer

Trident Maritime Systems-Heavy Equipment Group

Iron River (MI)

Hybrid

USD 120,000 - 150,000

Full time

5 days ago
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Job summary

Trident Maritime Systems - Heavy Equipment Group seeks an Artificial Intelligence (AI) & Analytics Solutions Engineer to design, build, and deploy AI and analytics that enhance operational efficiency, automate decision-making, and unlock new capabilities across the organization.

The role blends software engineering, machine learning, and analytics for production-ready solutions touching finance, maintenance, defect detection, and process optimization.

Qualifications

  • Strong programming skills in Python and SQL.
  • Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques.
  • Familiarity with cloud platforms (Azure) and GPU-accelerated computing.
  • Experience integrating AI models with enterprise systems, APIs, or edge devices.
  • Experience with M365 Copilot deployment and Copilot Studio.
  • Experience using Microsoft's PowerPlatform (Power Automate, PowerBI, etc.).
  • Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines.
  • Strong understanding of data structures, algorithms, and software engineering best practices.
  • Strong problem-solving mindset and curiosity.
  • Ability to translate ambiguous business needs into technical solutions.
  • Comfortable working in fast-paced, iterative environments.
  • Clear communication with both technical and non-technical stakeholders.
  • Understanding of AI governance, model monitoring, and responsible AI practices.

Responsibilities

  • Provide day-to-day functional support for deployed AI and analytics solutions.
  • Maintain knowledge of emerging AI technologies and solutions compatible with a government tenant.
  • Monitor and troubleshoot tickets related to AI and analytics solutions.
  • Collaborate with the business to define, design and deploy use cases leveraging AI and analytics solutions.
  • Build and maintain AI governance frameworks.
  • Work with third-party vendors as applicable to support on-going projects.

Skills

Python
SQL
ML model development
Azure cloud

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field
Azure/DevOps/Analytics/AI certifications

Tools

MLflow
Kubeflow
Airflow
Docker
Kubernetes
CI/CD pipelines

Job description

Job Title: Artificial Intelligence (AI) & Analytics Solutions Engineer

Department: Information Technology

Location: Kingsford, MI or Iron River, MI or Rhinelander, WI, Open to Remote/Hybrid

Summary

The Information Technology team aims to deliver meaningful capability, technical support, and innovative solutions to the organization and support the enterprise in achieving business strategic goals and objectives.

As part of the Information Technology team, the AI & Analytics Solutions Engineer, designs, builds, and deploys intelligent systems that enhance operational efficiency, automate decision-making, and unlock new capabilities across the organization. This role blends software engineering, machine learning, and analytics to develop production-ready AI and analytics solutions. In our environment, this may include solutions related to corporate finance, predictive maintenance, defect detection, and process optimization.

Responsibilities
  • Provide day-to-day functional support for deployed AI and analytics solutions
  • Maintain knowledge of emerging AI technologies and solutions compatible with a government tenant
  • Monitor and troubleshoot tickets related to AI and analytics solutions
  • Collaborate with the business to define, design and deploy use cases leveraging AI and analytics solutions
  • Build and maintain AI governance frameworks
  • Work with third-party vendors as applicable to support on-going projects
Qualifications
  • Strong programming skills in Python and SQL
  • Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
  • Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
  • Experience integrating AI models with enterprise systems, APIs, or edge devices
  • Experience with M365 Copilot deployment and Copilot Studio
  • Experience using Microsoft's PowerPlatform (Power Automate, PowerBI, etc.)
  • Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines
  • Strong understanding of data structures, algorithms, and software engineering best practices
  • Strong problem-solving mindset and curiosity
  • Ability to translate ambiguous business needs into technical solutions
  • Comfortable working in fast-paced, iterative environments
  • Clear communication with both technical and non-technical stakeholders
  • Understanding of AI governance, model monitoring, and responsible AI practices
Education and/or Experience
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
  • 3 - 5+ years of experience building and deploying machine learning or AI systems
  • Eligible to work within a government tenant (GCCH) and with FEDRAMP compliant solutions
  • Certifications in MS Azure, DevOps, Analytics, and AI
NICE TO HAVE Education and/or Experience
  • Master's degree in a technical field or equivalent experience
  • Experience working in government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
  • Experience working in navy, shipbuilding, or related domains
  • Advanced programming skills in Python (e.g., PyTorch, TensorFlow, scikit-learn, FastAPI)
  • Experience with, or a conceptual understanding of, Palantir Foundry / AIP / ShipOS
  • Background in industrial automation, robotics, or IoT sensor data
  • Experience building digital twins, simulation models, or optimization algorithmsFamiliarity with data engineering tools (Spark, Databricks, Kafka)
  • Knowledge of DevOps and infrastructure-as-code
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to use hands and fingers to handle or feel and talk or hear. The employee is frequently required to sit. The employee is occasionally required to walk; reach with hands and arms and stoop, kneel, crouch, or crawl. The employee is occasionally required to lift to 25 pounds. The vision requirements include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. All Trident Maritime Systems employees are encouraged to be fully vaccinated against COVID-19.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment can vary.

Trident Maritime Systems is an EEO/AA employer that offers a comprehensive compensation package and opportunities for growth.

Offers of employment are contingent on and not considered finalized until the required background check and drug test has been performed and the results received and accessed.

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