AI/ML Associate Manager
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Key skills for this role
Role Overview
Design, build, and deploy scalable Artificial Intelligence (AI) and Machine Learning (ML) solutions that enable organizations to unlock value from data and advanced analytics
Leverage cloud-native AI services, Generative AI technologies, and MLOps best practices to deliver production-ready solutions while driving innovation through research, model development, and high-performance computing capabilities
Key Skills for This Role
Full Job Posting
Overview
Design, build, and deploy scalable Artificial Intelligence (AI) and Machine Learning (ML) solutions that enable organizations to unlock value from data and advanced analytics
Leverage cloud-native AI services, Generative AI technologies, and MLOps best practices to deliver production-ready solutions while driving innovation through research, model development, and high-performance computing capabilities
Key Responsibilities
- Design and develop AI and Machine Learning solutions using modern AI frameworks and cloud-based AI services
- Build, deploy, and maintain scalable data pipelines that support model training, inference, monitoring, and production operations
- Implement DevOps and MLOps practices to ensure efficient model development, deployment, versioning, and lifecycle management
- Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business requirements
- Develop AI solutions that can operate across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures
- Evaluate model performance and communicate the quality, scalability, and business value of AI solutions to stakeholders
- Conduct research and development activities focused on emerging AI technologies, algorithms, simulations, and advanced analytical methods
- Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, feature engineering, and optimization techniques
- Design and implement efficient data, model, and knowledge storage mechanisms to support AI applications and retrieval capabilities
- Collaborate with architects, data engineers, and business stakeholders to deliver robust, enterprise-grade AI solutions
- Ensure adherence to security, governance, and Responsible AI principles throughout the AI solution lifecycle
- Support continuous improvement of AI platforms, tools, and engineering practices to enhance solution performance and reliability
Requirements
- Design and develop AI and Machine Learning solutions using modern AI frameworks and cloud-based AI services
- Build, deploy, and maintain scalable data pipelines that support model training, inference, monitoring, and production operations
- Implement DevOps and MLOps practices to ensure efficient model development, deployment, versioning, and lifecycle management
- Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business requirements
- Develop AI solutions that can operate across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures
- Evaluate model performance and communicate the quality, scalability, and business value of AI solutions to stakeholders
- Conduct research and development activities focused on emerging AI technologies, algorithms, simulations, and advanced analytical methods
- Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, feature engineering, and optimization techniques
- Design and implement efficient data, model, and knowledge storage mechanisms to support AI applications and retrieval capabilities
- Collaborate with architects, data engineers, and business stakeholders to deliver robust, enterprise-grade AI solutions
- Ensure adherence to security, governance, and Responsible AI principles throughout the AI solution lifecycle
- Support continuous improvement of AI platforms, tools, and engineering practices to enhance solution performance and reliability
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