AI/ML Engineer

KRONOSPAN

$90K — $120K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong analytical and problem-solving skills
  • Ability to communicate technical concepts to non-technical stakeholders
  • Project management and cross-functional collaboration skills
  • Self-driven with a continuous-learning mindset
  • Experience with optimization techniques in cut planning or scheduling
  • Proficiency in Python and ML frameworks like TensorFlow and PyTorch
  • Familiarity with cloud platforms and MLOps tools

Responsibilities

  • Design and develop machine learning solutions for production efficiency
  • Translate operational needs into scalable, production-ready models
  • Collaborate with cross-functional teams to implement AI solutions
  • Implement data-driven applications to enhance decision-making
  • Analyze and utilize sensor and scanner data in models
  • Optimize processes using linear and nonlinear programming techniques
  • Ensure that models are robust and ready for deployment

Benefits

  • Growth opportunities within the leading wood panel products producer
  • Diverse and inclusive work environment
  • Affordable medical, dental, and vision plans
  • Company-paid life and disability insurance
  • 401(k) plan with company match
  • Generous paid vacation and holiday time after 90 days
  • Training opportunities available through KronoAcademy
  • Uniforms and reimbursement for safety gear
Full Job Description
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.

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