As a member of CONXAI, you play a crucial role in bridging the gap between state-of-the-art research and real-world applications. Your primary responsibility is to ensure the reliability of Computer Vision models when exposed to intricate, unstructured customer data. **Core Responsibilities:**
Own the Feedback Loop: Monitor production data to identify areas where models struggle in specific customer environments, enabling targeted improvements. - Diagnose & Propose: Analyze discrepancies between model output and reality, and suggest algorithmic or data-driven solutions for enhanced performance. - Continuous Validation: Ensure the accuracy of final results for customers by meticulously setting up use cases and validating outcomes. - Drive Data-Centric Improvements: Curate specialized datasets and integrate valuable customer data for model retraining to enhance performance continuously. - Operationalize SOTA: Translate high-level architectures into efficient, cost-effective solutions customized for unique customer use-cases. - Validate for Impact: Develop evaluation frameworks that measure true customer value beyond standard benchmarks. **What Were Looking For:**
Bachelor's / Master's degree in Computer Science or Civil Engineering with a specialization in Data Science / Lean Construction. - Experience in training and evaluating Deep Learning models in PyTorch. - Strong understanding of machine learning, computer vision, and representation learning. - Proficiency in training and fine-tuning Deep Learning architectures for Object Detection, Segmentation, and Large Vision Language Models. - Hands-on experience in data curation, visualization, outlier detection, active learning, and hard-negative mining. - Proficient in Python with solid software engineering skills. - Ability to collaborate effectively in a team-based environment. - Excellent problem-solving abilities and communication skills. As part of CONXAI, you will experience:
Edge of Innovation: Engage at the forefront of AI within the construction tech industry. - High Autonomy: Contribute to a novel paradigm for multi-modal scene understanding, owning logic, performance, and customer impact. - Top-Tier Peer Group: Collaborate with a global team of ML engineers, software engineers, and industry experts. - Equity & Scale: Competitive compensation with significant equity potential. As a member of CONXAI, you play a crucial role in bridging the gap between state-of-the-art research and real-world applications. Your primary responsibility is to ensure the reliability of Computer Vision models when exposed to intricate, unstructured customer data. **Core Responsibilities:**
Own the Feedback Loop: Monitor production data to identify areas where models struggle in specific customer environments, enabling targeted improvements. - Diagnose & Propose: Analyze discrepancies between model output and reality, and suggest algorithmic or data-driven solutions for enhanced performance. - Continuous Validation: Ensure the accuracy of final results for customers by meticulously setting up use cases and validating outcomes. - Drive Data-Centric Improvements: Curate specialized datasets and integrate valuable customer data for model retraining to enhance performance continuously. - Operationalize SOTA: Translate high-level architectures into efficient, cost-effective solutions customized for unique customer use-cases. - Validate for Impact: Develop evaluation frameworks that measure true customer value beyond standard benchmarks. **What Were Looking For:**
Bachelor's / Master's degree in Computer Science or Civil Engineering with a specialization in Data Science / Lean Construction. - Experience in training and evaluating Deep Learning models in PyTorch. - Strong understanding of machine learning, computer vision, and representation learning. - Proficiency in training and fine-tuning Deep Learning architectures for Object Detection, Segmentation, and Large Vision Language Models. - Hands-on experience in data curation, visualization, outlier detection, active learning, and hard-negative mining. - Proficient in Python with solid software engineering skills. - Ability to collaborate effectively in a team-based environment. - Excellent problem-solving abilities and communication skills. As part of CONXAI, you will experience:
Edge of Innovation: Engage at the forefront of AI within the construction tech industry. - High Autonomy: Contribute to a novel paradigm for multi-modal scene understanding, owning logic, performance, and customer impact. - Top-Tier Peer Group: Collaborate with a global team of ML engineers, software engineers, and industry experts. - Equity & Scale: Competitive compensation with significant equity potential.