Job Title: Enabling Areas | IT | Manager | AI Architect
Job Title - AI Architect
Key Responsibilities:
1.Architecture Design: Design end-to-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability.
2.Innovation - Identify opportunities for leveraging AI to drive innovation, improve processes, and create value for internal stakeholders.
2. Technology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design.
3.Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment.
4.Integration and Deployment: Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud-based and edge computing platforms.
5.Performance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time.
6.Governance and Compliance: Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives.
7.Collaboration and Leadership: Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members.
Qualifications:
•Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.
•Minimum of 7+ years of relevant professional experience as an AI Architect or similar role, with a focus on designing and implementing AI solutions.
•Deep understanding of machine learning, deep learning, and other AI techniques and algorithms.
•Experience with AI development frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Apache MXNet.
•Proficiency in programming languages such as Python, Java, or Scala.
•Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
•Experience with containerization and orchestration technologies such as Docker and Kubernetes.
•Excellent problem-solving skills and analytical thinking.
•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
•Leadership experience, with the ability to inspire and influence team members and stakeholders.
Preferred Qualifications:
•Experience with AI applications in specific domains such as computer vision, natural language processing, or reinforcement learning.
•Knowledge of edge computing and IoT (Internet of Things) technologies.
•Understanding of DevOps principles and practices for AI development and deployment.