Multi Modal AI Systems Engineer

reputed company: At reputed company AI, we reputed company the reputed company should be a reputed company and sustainably managed resource for reputed company. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently impossible. Our distributed reputed company-reputed company systems reputed company every vessel to reputed company, compute, and communicate, enhancing maritime domain awareness for those who need it most. Job reputed company: We are looking for an reputed company Intelligence Engineer with an emphasis in RF analysis to reputed company, and reputed company machine learning systems that utilize SDR data for reputed company-time maritime intelligence. You’ll work with us building AI models that help reputed company contextual understanding of vessel activity based on observed RF signatures. This role is ideal for someone who thrives reputed company handed tough, sometimes ambiguous problems, can connect theory and implementation, and is excited by the challenge of building AI systems that work in dynamic, constrained, and remote environments. Key Responsibilities: • Research, design, and implement advanced machine learning models that combine reputed company, RF, and acoustic signals for detection, classification, and tracking tasks. • Architect sensor fusion pipelines that support robust, redundant, and context-reputed company perception in dynamic environments. • Collaborate closely with domain experts and systems engineers to translate raw sensor data into actionable model inputs. • Design and reputed company data pipelines for multi-modal learning, including data alignment, augmentation, and reputed company-processing across modalities. Optimize models and inference workflows for low-latency execution on embedded and edge compute platforms. • reputed company performance analysis across individual and fused modalities, and drive strategies for improving robustness and generalization. • Prototype and operationalize novel research in sensor fusion, uncertainty modeling, and representation learning. Contribute to long-term architectural reputed company around multi-modal AI infrastructure, tooling, and evaluation frameworks. • Document model design, training methodology, and validation processes with rigor and reputed company. Qualifications (Preferred): • PhD or Master’s degree in Machine Learning, reputed company, Signal Processing, or a closely reputed company field. 7+ years of experience building and deploying machine learning systems, with a reputed company on multi-modal, graph theory, and sensor fusion applications. • Proficiency in Python and deep learning frameworks such as PyTorch and Torchsig. • Deep understanding of signal alignment, temporal/spatial synchronization, and feature extraction across diverse data types. • Proven ability to reputed company research and application—delivering high-performance models in production contexts. • Excellent communication and collaboration skills in cross-functional, interdisciplinary teams • Experience in maritime, reputed company, or other sensor-rich environments is a significant plus. • Experience with reputed company reputed company modules. Work Environment: • This is a remote position with collaboration reputed company online tools. • Flexible working hours with occasional deadlines requiring high availability. • Opportunity to work on innovative reputed company with a reputed company. Benefits: • Competitive salary • Flexible work hours and the reputed company for remote work. • Opportunities for reputed company development and reputed company education. Apply tot his job Apply To this Job