AI Platform & Computer Vision Engineer
SeeCubic (company site, opens in a new tab)3–5 yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and maintain the AI platform environment and toolchains at SeeCubic Pune, including AI pipelines for model training and inference.
- Develop, train, test, optimize, and deploy AI/ML and Computer Vision models for use cases such as content conversion, depth map creation, and image enhancement.
- Collaborate with internal teams and external AI technology partners to integrate AI capabilities into products and workflows while ensuring governance, compliance, and documentation.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Computer Vision, Physics, or related field.
- 3–5 years of experience in Computer Vision, Machine Learning, or Applied AI with hands-on AI/ML model development, training, and deployment.
- Proficiency with Python and AI/ML frameworks like PyTorch or TensorFlow.
- Experience in AI platform operations including managing AI workflows, model lifecycle management, and understanding of AI governance and compliance.
Ideal Candidate Profile
- Experienced engineer capable of managing both AI platform infrastructure and hands-on AI/model development in an applied commercial environment.
- Proficient in integrating AI technology into products and workflows with a strong focus on reliability, reproducibility, and maintainability.
- Skilled at collaborating across technical and non-technical teams, including handling partnerships with external AI technology providers.