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Mid-level (3–5 yrs) metro ML/CV role increases applicant competition.
Specialized computer vision and MLOps skills are moderately transferable, favoring candidates with CV experience.
Explicit 3–5 years plus required ML/CV frameworks and MLOps increases screening rigor.
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.
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.
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.