Gen AI Architect

Job Title: GEN AI Architect

Location: Remote

Fulltime

Looking for a candidate with 14+ years of experience only

Job Description:

• We are seeking a highly skilled Generative AI Architect to join our dynamic team and drive the development of advanced AI systems that have capabilities to learn, reason and make decisions autonomously.

Key Responsibilities:

AI Systems Architecture:

• 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.
• Algorithm Development:
• 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.

Data Integration:

• 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.

Model Training and Evaluation:

• 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.

Neural Network Design:

• 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.

System Integration:

• 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.

Ethical and Responsible AI:

• 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.

Research and Innovation:

• 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.

Teamwork and Communication:

• 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.

Mandatory Qualifications/Skills:

• 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 Skills:

• Knowledge of NVIDIA CUDA, cuDNN, TensorR