AI/ML Engineer

Posted 3 Days Ago
Anniston, AL, USA
In-Office
Mid level
Industrial • Manufacturing
The Role
Design, develop, and deploy ML/AI solutions to improve manufacturing production efficiency, product quality, and decision-making. Translate operational needs into scalable, production-ready models and data-driven applications. Work with sensor/scanner data, optimization techniques for cut planning/scheduling, and build computer vision or predictive maintenance models. Deploy solutions using cloud and MLOps tools, collaborate cross-functionally, and communicate results to non-technical stakeholders.
Summary Generated by Built In
Company Description

Kronospan is the world's leading producer of wood panel products including MDF, OSB, Particleboard, and Laminate Flooring. We are state of the art, automated, and visionary. We are sustainable and eco-friendly. We are Worldwide AND we are American Made. We are Kronospan.

Job Description

The AI/ML Engineer’s role is to design, develop, and deploy machine learning and artificial intelligence solutions that improve production efficiency, product quality, and decision-making across the company’s manufacturing operations, translating operational and business needs into scalable, production-ready models and data-driven applications.

Qualifications

  • Strong analytical and problem-solving skills
  •   Ability to communicate complex technical concepts to non-technical stakeholders
  •   Project management and cross-functional collaboration skills
  •   Self-driven with a continuous-learning mindset.
  •   Comfort working with sensor and scanner data
  •   Experience with optimization techniques (linear/nonlinear programming, heuristics) relevant to cut planning or scheduling problems
  •   Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  •   Experience with SQL and data pipeline/orchestration tools (Airflow, Spark)
  •   Familiarity with cloud platforms (Azure, AWS, or GCP) and MLOps tools (MLflow, Docker, Kubernetes)

 

 

PREFERRED QUALIFICATIONS:

  • Bachelor’s in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related field or equivalent experience.
  • 3+ years of experience in machine learning, data science, or AI engineering, ideally within a manufacturing, industrial, or process industry environment
  • Experience building and deploying computer vision or predictive maintenance models
  • Prior exposure to wood-based panel manufacturing (MDF, particleboard, OSB), laminate flooring production, or UF/MUF resin production
  • Experience building and deploying computer vision or predictive maintenance models
  • Experience with data visualization tools (Power BI, Grafana)

Additional Information

As a company dedicated to its associates, we offer numerous benefits and advantages:
- Growth opportunities, domestic and international, with the world's leading producer of wood panel products
- Work in a diverse, inclusive environment with colleagues from around the world
- A highly competitive benefits program including affordable medical, dental and vision plans
- Company paid life and short & long term disability plans
- Supplemental life, critical illness and accident plans for you and your family
- 401 (k) retirement plan with company match
- Paid time off including a generous paid vacation plan and holidays after 90 days
- “Life of Career” training opportunities through our global or local KronoAcademy
- Uniform & reimbursement for safety boots & prescription safety glasses and company provided tools
Together we work, together we win.

WHAT TO SEND OUR WAY
- A cover letter along with your Resume, highlighting your education, experience and skills.

 

Skills Required

  • Strong analytical and problem-solving skills
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Project management and cross-functional collaboration skills
  • Self-driven with a continuous-learning mindset
  • Comfort working with sensor and scanner data
  • Experience with optimization techniques relevant to cut planning or scheduling (linear/nonlinear programming, heuristics)
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with SQL and data pipeline/orchestration tools (Airflow, Spark)
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and MLOps tools (MLflow, Docker, Kubernetes)
  • Bachelor's in Computer Science, Data Science, AI, Statistics, Engineering, or related field or equivalent experience
  • 3+ years of experience in machine learning, data science, or AI engineering (preferred)
  • Experience building and deploying computer vision or predictive maintenance models
  • Prior exposure to wood-based panel manufacturing or UF/MUF resin production
  • Experience with data visualization tools (Power BI, Grafana)
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The Company
15,000 Employees
Year Founded: 1897

What We Do

Kronospan is a global manufacturer and distributor of wood‑based panels and value‑added products — including particleboard, MDF, OSB, laminate flooring, melamine‑faced boards and resins — supplying furniture, interior design and construction markets worldwide. Founded in 1897, the group operates many production sites across multiple countries and emphasizes sustainable use of wood residues and resource‑efficient manufacturing.

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