AI Engineer

Gomotive
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Debugging","Problem-solving","Model evaluation","Systems thinking"]

Build and improve machine-learning and computer-vision systems that power safety intelligence for millions of trucks. Evaluate production models, prototype ML modules for AI features, and optimize CV/ML algorithms for real-time performance on an embedded next-gen AI dashcam. Debug model failures, deploy solutions at scale, and create automated deployment, validation, and active learning pipelines while collaborating across Embedded, Backend, Frontend, Hardware, QA, and the broader AI team.

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FursaFursa
Gomotive
Gomotive
1 hour ago

AI Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 52 minutes agoStatus: Live

Job Summary

Build and improve machine-learning and computer-vision systems that power safety intelligence for millions of trucks. Evaluate production models, prototype ML modules for AI features, and optimize CV/ML algorithms for real-time performance on an embedded next-gen AI dashcam. Debug model failures, deploy solutions at scale, and create automated deployment, validation, and active learning pipelines while collaborating across Embedded, Backend, Frontend, Hardware, QA, and the broader AI team.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Evaluate and improve the performance of existing production models and algorithms.
  • •Prototype and implement ML modules for complex AI features.
  • •Build and optimize CV/ML algorithms for real-time performance on an embedded platform (next-gen AI dashcam).
  • •Write Python and C++ to build and improve CV algorithms, ML services, training, model compression, and porting pipelines.
  • •Collaborate cross-functionally and build automated deployment, validation, and active learning pipelines.

Key Requirements

  • •Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (Master’s a plus).
  • •4+ years of machine learning and/or data science experience.
  • •Solid mathematical foundation in deep learning, machine learning, and optimization approaches.
  • •Strong experience in Python or C++.
  • •Experience with optimizing and deploying ML models on embedded devices is a plus.
Experience:4+ yearsMachine learningComputer visionDeep learningRobust ML deploymentEmbedded devices
Education:Bachelor's
Skills:CollaborationDebuggingProblem-solvingModel evaluationSystems thinking
Languages:English
Tech Stack:PythonC++AWSSageMakerLambdaEC2S3RDSCI/CDTerraformDockerKubernetesComputer visionDeep learningMachine learningEmbedded systemsTrainingModel compressionPorting pipelines

Company Brief

Gomotive
Provides a cloud-based fleet safety and compliance platform with digital driver logs, vehicle inspection checklists, workflows, and reporting tools to help transportation and delivery fleets improve safety and meet regulatory requirements.
Industry: Supply Chain Technology
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