Yochana · 22 hours ago
Gen AI Architect
Yochana is seeking a highly skilled Generative AI Architect to join their dynamic team and drive the development of advanced AI systems. The role involves designing and developing the architecture for Gen AI systems, implementing advanced AI algorithms, and ensuring ethical AI practices are followed.
Responsibilities
Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval
Ensure the system's scalability, flexibility, and efficiency to handle large algorithms
Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks
Continuously evaluate and improve these algorithms to enhance system performance and accuracy
Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation
Collaborate with data scientists and engineers to ensure the quality and relevance of data for AI model training
Train AI models using supervised, unsupervised, or reinforcement learning techniques
Implement evaluation methodologies to measure the performance and effectiveness of trained models
Fine-tune models based on feedback and data insights
Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics
Implement innovative architectures and techniques to improve model accuracy and efficiency
Collaborate with software developers and engineers to integrate AI systems into existing platforms or applications
Ensure seamless communication and compatibility between AI components and other software modules
Adhere to ethical AI practices, such as fairness, transparency, and accountability
Address biases and potential risks associated with AI systems to ensure responsible deployment and usage
Stay updated with the latest advancements in AI technologies, frameworks, and algorithms
Conduct research and experimentation to explore innovative approaches and techniques that can enhance AI capabilities
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to define AI requirements and deliver AI solutions that meet business objectives
Communicate complex AI concepts and solutions effectively to both technical and non-technical audiences
Qualification
Required
A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field
Experience with large language models (LLMs) and prompt engineering
Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks
Strong programming skills in languages such as Python, R, or Java
Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras
Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms
Solid understanding of AI concepts, algorithms, and methodologies
Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques
Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions
Strong communication and collaboration skills to work effectively in multidisciplinary teams
Knowledge of ethical AI practices and laws is a plus
Preferred
Knowledge of NVIDIA CUDA, cuDNN, TensorR
Company
Yochana
Yochana: Your Trusted Workforce Partner Across North America & Beyond For over 16 years, Yochana has been a leading talent acquisition firm, connecting businesses with top professionals across industries.
H1B Sponsorship
Yochana has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (21)
2024 (11)
2023 (3)
Funding
Current Stage
Growth StageRecent News
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