ML Systems Developer

2 weeks ago


nellore, India beBeeMachineLearning Full time

Job SummaryWe are seeking a highly skilled Machine Learning Engineer to join our team.About the RoleDesign, build, and deploy machine learning models into production-grade environments using state-of-the-art techniques and tools.Develop and manage MLOps pipelines for continuous training, monitoring, and versioning to ensure seamless integration with our systems.Automate workflows for data processing, model deployment, and CI/CD to optimize efficiency and reduce manual effort.Collaborate closely with engineering and product teams to translate business needs into effective ML solutions that drive business value.Implement robust model performance monitoring, logging, and alerting systems to ensure proactive issue detection and resolution.Optimize ML workloads for scalability, cost, and performance in cloud environments to maximize ROI.Ensure adherence to best practices in security, governance, and reproducibility to maintain high-quality deliverables.Mandatory RequirementsHands-on experience working with multimodality, including at least two modalities (text + vision or text + audio or vision + audio).Must have hands-on experience in multimodal pipelines, model building, or fine-tuning – not just basic integration.Minimum 2 years of hands-on work experience in multimodal ML, computer vision, or audio ML.Strong computer vision skills are required for certain projects.The CV must clearly demonstrate experience in image processing/vision-based ML, audio AI, and multimodal architectures/datasets/projects.



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