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EN
18.05.2026

Computer Vision Project Lead

Machine vision, manufacturing

AI ROOTS DATA CASE
We are looking for a Senior Computer Vision Project Lead to lead and implement a high-impact industrial AI initiative in manufacturing quality assurance!

Start

August - September 2026

Duration

Until further notice

Location

remote, remote

Allocation

~50%. Negotiable / to be defined

We are looking for a Senior Computer Vision Project Lead & Developer to lead and implement a high-impact industrial AI initiative in manufacturing quality assurance.

The goal is to reduce production waste at scale by deploying computer vision–based defect detection across multiple production lines in a global manufacturing environment.

  • Production scale: ~500 million units/year
  • Year 1 goal: deploy solution on 3 production lines
What You’ll Do

Technical Leadership
  • Own the end-to-end computer vision solution architecture
  • Define scalable approach across multiple heterogeneous production lines
  • Lead technical decisions on models, tooling, and infrastructure
  • Work closely with data/platform teams to ensure data flow across production stages
Hands-on Development (potentially, customer's team is highly involved in the hands-on part and it will be discussed whether the consultant participates in it as well)
  • Design and implement computer vision models for defect detection
  • Work with image data from industrial production environments
  • Build pipelines for training, evaluation, and deployment
  • Optimize models for real-time or near-real-time inference (edge + cloud)
Data & Integration
  • Ensure traceability of defects across production stages (maker → coating → converting)
  • Integrate with existing datahub / cloud platform
  • Replace manual/fragmented processes with automated data pipelines
Collaboration
  • Work with production engineers and plant teams
  • Translate real-world manufacturing problems into ML solutions
  • Guide stakeholders from PoC → production
Key Challenges
  • Data continuity across long, multi-stage production processes
  • Limited or inconsistent labeling (historically manual)
  • Heterogeneous production lines (20–30 variations)
  • Bridging physical production and digital systems
  • Moving from earlier PoC to scalable production deployment
Requirements

Must-have
  • Strong experience in computer vision / machine learning
  • Proven track record delivering production-grade computer vision systems
  • Strong understanding of Python (e.g. PyTorch, TensorFlow, OpenCV)
  • Experience with edge deployment and/or real-time inference
  • Strong system design and architecture skills
  • Ability to lead projects and make independent decisions
Nice-to-have
  • Experience with industrial or manufacturing environments
  • Experience with defect detection / quality inspection
  • Experience with distributed data systems or data platforms
  • MLOps experience (pipelines, monitoring, model lifecycle)
  • Experience working across multiple sites / countries
Profile We’re Looking For
  • Senior, pragmatic builder
  • Comfortable in ambiguity and early-stage problem solving
  • Able to balance speed vs. scalability
  • Strong communicator with both engineers and business stakeholders

Ilmoita kiinnostuksesi kirjautuneena:

Toimeksiannon yhteyshenkilö

Contact person profile picture

Timo Heikkinen

AI Roots Partner

+358405894400

timo.heikkinen@finitec.fi