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Freelance Point Cloud Modeling Jobs in Wisconsin

Serve Robotics

$225K - $260K/yr

... models. By optimizing distributed training pipelines, neural network architectures, and data ... and point cloud data). This includes ensuring data is efficiently loaded, distributed, and ...

Devoteam Alegri GmbH

WI · On-site

$63.50 - $84.25/hr

You will report to your practice manager, who will be your point of contact for development and ... You define implementation standards for AI and Machine Learning models within the data platform.

Plexus Corp

Senior Cloud Platform Engineer

Neenah, WI · On-site

$97K - $146K/yr

This role is central to the "Cloud Engineering" model, treating the network as software to ... This role operates with a clear demarcation point at the Cloud Router/SD-WAN interface, providing ...

Plexus Corp.

Senior Cloud Platform Engineer

Neenah, WI · On-site

$97K - $146K/yr

This role is central to the "Cloud Engineering" model, treating the network as software to ... This role operates with a clear demarcation point at the Cloud Router/SD-WAN interface, providing ...

Cegeka Deutschland GmbH

WI · On-site

$120 - $150/hr

You support the transition towards cloud-native architectures, including service mesh and GitOps ... You will have a point of contact, a personal coach, and a sparring partner. * Continuous learning:

New

Softchoice

WI · On-site

$125 - $165/hr

... from the point of assessing customer needs through closing deals and driving diversification ... Strong expertise in Data Center, hybrid cloud, and public cloud models, with experience across ...

New

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Lakehouse concepts (Iceberg and/or Delta) Transformation & Modeling * dbt (dbt Core and/or dbt Cloud) Source Control, GitOps & CI/CD * GitHub * Pull request-based development * CI/CD pipelines ...

Accenture

Google Senior Data Engineer

Milwaukee, WI · On-site

$94K - $266K/yr

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage * Assist with data modeling, performance ... Bonus point if you have * Experience with GCP services such as BigQuery, Dataflow, Pub/Sub ...

Euroclear

WI · On-site

$120 - $150/hr

NET and Java development stacks as well as a good command of Azure Cloud, APIs, Integration ... Please note that this is a permanent position, and we do not offer freelance or contract ...

CSAA

Implement best practices for MLOps, model monitoring, model lifecycle management, and AI ... point for complex production issues involving AI platforms, machine learning workloads, cloud ...

New

CSAA

Implement best practices for MLOps, model monitoring, model lifecycle management, and AI ... point for complex production issues involving AI platforms, machine learning workloads, cloud ...

New

CSAA

Implement best practices for MLOps, model monitoring, model lifecycle management, and AI ... point for complex production issues involving AI platforms, machine learning workloads, cloud ...

New

CSAA

Implement best practices for MLOps, model monitoring, model lifecycle management, and AI ... point for complex production issues involving AI platforms, machine learning workloads, cloud ...

New

Jobtailor

WI · On-site

$120 - $180/hr

* Act as a central Information Security point of contact for Capital One's Enterprise Data ... At least 1 year of experience with architecture, software design, networking, and cloud ...

Hispanic Alliance for Career Enhancement

WI · On-site

$144 - $288/hr

... point solution provider, and employer, and addresses the top health care challenges for the ... Build risk management practices that account for AI-specific concerns - model drift, hallucination ...

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All JobsPoint Cloud Modeling JobsFreelance Point Cloud Modeling JobsFreelance Point Cloud Modeling Jobs in Wisconsin

Freelance Point Cloud Modeling information

What is freelance point cloud modeling?

Freelance point cloud modeling involves creating 3D models from point cloud data, which are collections of data points in space typically generated by 3D scanners or LiDAR devices. Freelancers in this field use specialized software to process, clean, and convert these data points into accurate digital representations of real-world objects or environments. These models are commonly used in industries such as construction, architecture, engineering, and surveying for tasks like building renovation, site analysis, and digital twin creation. Freelancers offer flexibility and specialized expertise to companies or individuals who need these services on a project basis.

What skills and qualifications are needed to thrive as a freelance point cloud modeling specialist?

To thrive as a Freelance Point Cloud Modeling Specialist, you need expertise in 3D modeling, spatial data interpretation, and a solid understanding of surveying or architecture fundamentals. Familiarity with software such as Autodesk ReCap, Bentley Pointools, or CloudCompare, as well as experience handling large datasets, is typically required. Strong problem-solving, attention to detail, and effective client communication are standout soft skills in this field. These competencies ensure the accurate transformation of point cloud data into actionable models, meeting client specifications and supporting high-quality project delivery.

What are common challenges faced by freelance point cloud modelers when working with clients remotely?

Freelance point cloud modelers often encounter challenges related to data transfer and communication when collaborating with clients remotely. Large point cloud files can be difficult to share efficiently, requiring the use of secure cloud storage or specialized file transfer services. Additionally, aligning expectations regarding project scope, accuracy, and deliverables is crucial, as misunderstandings can arise without clear communication. Building effective workflows for feedback and revisions helps ensure smooth collaboration and client satisfaction.

What is the difference between Freelance Point Cloud Modeling vs Freelance 3D Modeling?

AspectFreelance Point Cloud ModelingFreelance 3D Modeling
Skills & CertificationsLiDAR data processing, CAD, 3D scanningPolygon modeling, texturing, rendering
Work EnvironmentField data collection, software for point cloud processingDesign studios, software like Blender, Maya
Industry UsageConstruction, surveying, architectureEntertainment, product design, animation
Search & Comparison IntentFocus on point cloud data, scanning, and modelingFocus on artistic and detailed 3D models

Freelance Point Cloud Modeling specializes in converting LiDAR and scan data into 3D models for technical applications, while Freelance 3D Modeling covers a broader range of artistic and design projects. Both roles require 3D skills but serve different industry needs.

What are popular job titles related to Freelance Point Cloud Modeling jobs in Wisconsin?

For Freelance Point Cloud Modeling jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Freelance Point Cloud Modeling jobs in Wisconsin look for?

The top searched job categories for Freelance Point Cloud Modeling jobs in Wisconsin are:

What cities in Wisconsin are hiring for Freelance Point Cloud Modeling jobs?

Cities in Wisconsin with the most Freelance Point Cloud Modeling job openings:

Freelance Point Cloud Modeling jobs near you

Lead Machine Learning Engineer

Serve Robotics

On-site, Remote

$225K - $260K/yr

Full-time

Re-posted 26 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
This role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.
Responsibilities
  • Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets (e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters.
  • Identify and resolve bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time.
  • Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks, particularly those handling high-dimensional and sequential sensor data.
  • Create and adjust loss functions and training strategies that help the model learn effectively from complex multimodal inputs and improve autonomy performance.
  • Configure, monitor, and maintain large-scale distributed training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage.
  • Implement scalable systems to preprocess, transform, and augment large robotics datasets so that they are suitable for model training.
  • Work closely with ML scientists and other engineers to integrate new models, experiments, and training approaches into the production training pipeline.
  • Analyze training metrics, model outputs, and experiment logs to assess model performance and guide improvements in architecture, data usage, or training strategies.
  • Develop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches.

Qualifications
  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline.
  • Minimum of 5 years of professional experience developing, training, and deploying machine learning models in production environments.
  • Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.
  • Strong programming skills in Python for implementing machine learning models, data pipelines, and training workflows.
  • Solid knowledge of core concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies.

What Makes You Stand out
  • Experience identifying and resolving training bottlenecks related to compute utilization, memory usage, and data throughput in machine learning systems.
  • Experience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR point clouds, radar, or telemetry data.
  • Experience developing models that combine multiple data modalities (e.g., images, point clouds, and structured sensor data) into a unified learning system.
  • Peer-reviewed publications or significant research contributions in machine learning, robotics, or related areas.

*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
  • Canada - ALL: $177k - $215k CAD

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