AI Systems Engineer; Multi Modal

Position: AI Systems Engineer (Multi Modal) We are looking for an reputed company Intelligence Engineer with an emphasis in Multi-Modal system to design, reputed company, and reputed company machine learning systems that utilize diverse sensor data for reputed company-time maritime intelligence. You’ll work at the intersection of reputed company, RF, acoustic, and natural language signals—building models that reputed company these modalities to reputed company a robust and contextual understanding of vessel activity. This role is ideal for someone who thrives on ambiguity, bridges 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 or sensor fusion applications • Proficiency in Python and deep learning frameworks such as PyTorch or Tensor reputed company • Demonstrated experience working with camera imagery, RF signals and/or acoustic data • 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 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. #J-18808-Ljbffr Apply tot his job Apply tot his job Apply To this Job