AI Model Architect

2 days ago

salem, India beBeeMachine Full time

Freelance Machine Learning EngineerWe are seeking a seasoned Freelance Machine Learning Engineer to collaborate with our team of skilled developers. This part-time opportunity allows you to work on challenging projects with top-notch experts in the industry.The ideal candidate should possess at least 10+ years of experience in machine learning engineering, with hands-on expertise in multimodality (text + vision or text + audio or vision + audio). They should have worked on multimodal pipelines, model building, or fine-tuning, and have strong experience with computer vision.The selected individual will be responsible for designing, building, and deploying ML models into production-grade environments, setting up and managing MLOps pipelines, automating workflows for data processing, model deployment, and CI/CD, and working closely with engineering and product teams to translate business needs into ML solutions.Design, build, and deploy ML models into production-grade environments.Set up and manage MLOps pipelines for continuous training, monitoring, and versioning.Automate workflows for data processing, model deployment, and CI/CD.Work closely with engineering and product teams to translate business needs into ML solutions.Implement model performance monitoring, logging, and alerting systems.Optimize ML workloads for scalability, cost, and performance in cloud environments.Ensure best practices in security, governance, and reproducibility.The candidate must demonstrate the following qualifications:Hands-on experience in Multimodality: The candidate must have practical experience working with at least two modalities (Text + Vision or Text + Audio or Vision + Audio).Must have worked on multimodal pipelines, model building, or fine-tuning — not just using ChatGPT APIs or basic integration.Minimum 2 years of hands-on work in multimodal ML, computer vision, or audio ML.Strong experience with Computer Vision is required for this role.The CV must clearly reflect experience in:Image processing / vision-based MLAudio AI (if applicable)Multimodal architectures, datasets, or projects

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