Machine Learning Engineer (Computer Vision)
Diconium (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–24 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development of AI and computer vision models including data pipelines, training, deployment, monitoring, and retraining.
- Design and deploy image and video processing pipelines using OpenCV and integrate generative AI models on Microsoft Azure.
- Manage MLOps including experimentation, CI/CD, containerization, deployment on Azure Kubernetes or Container Apps, and infrastructure as code with Terraform.
Minimum Requirements
- 3+ years of professional experience in machine learning engineering with at least 2 years on computer vision projects.
- Experience taking at least one computer vision model from prototype to production and maintaining it.
- 2+ years of experience working with Microsoft Azure data and ML services.
- Bachelor's or Master's degree in Computer Science, Data Science, AI, Electrical Engineering, or related field.
Ideal Candidate Profile
- Experienced in operationalizing computer vision models on Microsoft Azure with strong MLOps and data engineering skills.
- Proficient in Python and strong software engineering practices including testing, version control, and clean code.
- Able to collaborate across technical and non-technical teams to translate business problems into ML solutions.