Experience: 3 to 5 years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Paraview, Python, Engineering, Large-scale data visualization
If you are a passionate scientific visualization professional with a deep mastery of ParaView, we invite you to join our customer’s team as a ParaView Expert. You will play a pivotal role in capturing and explaining end-to-end renders used by experienced visualization experts, directly shaping how next-generation AI understands and replicates advanced data visualization practices.
Key Responsibilities:
- Lead full-cycle visualization projects in ParaView, from importing raw simulation or scientific datasets to producing final rendered outputs.
- Document and narrate your workflow, decision-making, and analytical reasoning throughout the visualization process for AI learning purposes.
- Clean, preprocess, and manage complex datasets using ParaView’s tools and capabilities.
- Apply and customize advanced filters, scalar/vector field adjustments, and visualization pipelines.
- Create compelling visual representations such as volume rendering, streamlines, contour plots, and more.
- Optimize performance and troubleshoot technical issues as you progress through projects.
- Collaborate remotely with the customer’s team, leveraging exceptional written and verbal communication skills to share insights and best practices.
Required Skills and Qualifications:
- Expert-level, hands-on experience using ParaView for real-world engineering, medical, or scientific visualization projects.
- Demonstrated ability to manage entire visualization workflows, from dataset import to final output, within ParaView.
- Strong proficiency in Python scripting for automation, customization, or data processing within ParaView.
- Background in engineering, medical imaging, physics research, computational sciences, or similar technical domains.
- Exceptional written and verbal communication skills, with the ability to clearly articulate technical concepts and decisions.
- Proven capability to troubleshoot issues and optimize visualization pipelines for both accuracy and performance.
Preferred Qualifications:
- Experience using ParaView in specialized domains such as medical, engineering, or materials science.
- Prior experience in teaching, mentoring, or creating educational content related to scientific visualization.
- Active participation in the ParaView user community or contributions to open-source visualization projects.