Computer Vision AI & ML Engineer

Skild AI
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Problem-solving","Communication","Teamwork","Analytical thinking"]

Design, build, and deploy perception systems for real-world robotics, spanning the full machine learning lifecycle from model development to production integration. Work across multi-modal sensor data to develop DL models for object detection, segmentation, and 3D scene understanding, and collaborate with robotics and simulation teams to integrate perception into production pipelines while influencing architecture and roadmap decisions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Skild AI
Skild AI
7 months ago

Computer Vision AI & ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design, build, and deploy perception systems for real-world robotics, spanning the full machine learning lifecycle from model development to production integration. Work across multi-modal sensor data to develop DL models for object detection, segmentation, and 3D scene understanding, and collaborate with robotics and simulation teams to integrate perception into production pipelines while influencing architecture and roadmap decisions.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and optimize deep learning models for object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
  • •Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
  • •Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
  • •Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
  • •Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.

Key Requirements

  • •Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • •Background in computer vision tasks such as detection, segmentation, tracking, or 3D scene understanding.
  • •Proficiency in Python; familiarity with C++ is a plus.
  • •Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
  • •Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).
Experience:RoboticsAIMachine learningComputer vision
Skills:CollaborationProblem-solvingCommunicationTeamworkAnalytical thinking
Languages:English
Tech Stack:PyTorchTensorFlowJAXPythonC++LiDARRGB-D3D geometryIsaac SimGazeboBlenderMLOpsMachine learningDeep learning

Company Brief

Skild AI
Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.
Industry: AI & Machine Learning
Website