About AI Staffing Ninja
AI Staffing Ninja is a leading blockchain recruitment agency specializing in connecting top AI talent with innovative companies worldwide for AI recruiting. Our team of experienced AI recruiters has an in-depth understanding of the market and works tirelessly to identify the best AI candidates for each position. We offer various AI staffing solutions, including contract, contract-to-hire, and direct-hire placements.
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61 Job openings in Ai Staffing Ninja
As an IoT Firmware Engineer, your primary responsibility is to develop and maintain firmware for IoT devices, ensuring their smooth operation and functionality. You will work closely with cross-functional teams, including hardware engineers, software developers, and product managers, More...
Data Analysis: Identify, clean, and preprocess large datasets from various sources to extract meaningful insights and patterns. Apply statistical techniques and data mining algorithms to uncover trends, correlations, and anomalies. Model Development: Design, develop, and implement More...
Designing and implementing firmware solutions for IoT devices, considering hardware constraints and system requirements. Collaborating with hardware engineers to define device specifications, including sensor integration, communication protocols, and power management. Writing effi More...
Collaborate with data scientists and business stakeholders to understand project requirements and define AI solutions. Design and develop machine learning models, algorithms, and neural networks for data analysis, prediction, and decision-making. Collect, preprocess, and analyze l More...
Virtual Reality Engineer
Ai Staffing Ninja -
Kuwait City
-
Kuwait
Design and develop virtual reality experiences and applications using industry-standard tools and technologies. Collaborate with cross-functional teams, including designers, artists, and software engineers, to create compelling and user-friendly VR solutions. Build interactive and More...
Designing and implementing firmware solutions for IoT devices, considering hardware constraints and system requirements. Collaborating with hardware engineers to define device specifications, including sensor integration, communication protocols, and power management. Writing effi More...
Data Modeling: Design and develop conceptual, logical, and physical data models based on business requirements, industry best practices, and data governance standards. Requirement Analysis: Collaborate with business analysts and stakeholders to understand data requirements, data so More...
Collaborate with business stakeholders to understand their reporting and data analysis requirements. Design, develop, and maintain data models, data warehouses, and data marts. Extract, transform, and load (ETL) data from multiple sources into data repositories. Develop and imple More...
Designing and developing embedded systems and software for a variety of applications. Collaborating with hardware engineers to integrate software and hardware components. Writing and debugging embedded software code in languages such as C, C++, or assembly. Conducting system-leve More...
Collaborate with data scientists and business stakeholders to understand project requirements and define AI solutions. Design and develop machine learning models, algorithms, and neural networks for data analysis, prediction, and decision-making. Collect, preprocess, and analyze l More...
Design, develop, and maintain big data infrastructure and data pipelines. Work closely with data scientists and analysts to understand their requirements and translate them into technical solutions. Optimize and tune data pipelines for performance and scalability. Implement data More...
Designing and developing embedded systems and software for a variety of applications. Collaborating with hardware engineers to integrate software and hardware components. Writing and debugging embedded software code in languages such as C, C++, or assembly. Conducting system-leve More...
Collaborate with business stakeholders to understand their reporting and data analysis requirements. Design, develop, and maintain data models, data warehouses, and data marts. Extract, transform, and load (ETL) data from multiple sources into data repositories. Develop and imple More...
Collaborate with data scientists and business stakeholders to understand project requirements and define AI solutions. Design and develop machine learning models, algorithms, and neural networks for data analysis, prediction, and decision-making. Collect, preprocess, and analyze l More...
Data Analysis: Identify, clean, and preprocess large datasets from various sources to extract meaningful insights and patterns. Apply statistical techniques and data mining algorithms to uncover trends, correlations, and anomalies. Model Development: Design, develop, and implement More...
Design and develop cloud-based AI solutions: Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions on cloud platforms. Architect, implement, and deploy machine learning models and AI applications. Cloud platform se More...
Collaborate with business stakeholders to understand their reporting and data analysis requirements. Design, develop, and maintain data models, data warehouses, and data marts. Extract, transform, and load (ETL) data from multiple sources into data repositories. Develop and imple More...
Designing and developing embedded systems and software for a variety of applications. Collaborating with hardware engineers to integrate software and hardware components. Writing and debugging embedded software code in languages such as C, C++, or assembly. Conducting system-leve More...
Designing and implementing firmware solutions for IoT devices, considering hardware constraints and system requirements. Collaborating with hardware engineers to define device specifications, including sensor integration, communication protocols, and power management. Writing effi More...
Data Analysis: Identify, clean, and preprocess large datasets from various sources to extract meaningful insights and patterns. Apply statistical techniques and data mining algorithms to uncover trends, correlations, and anomalies. Model Development: Design, develop, and implement More...
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