Overview
Remote
$65
Contract - W2
Skills
Artificial Intelligence
Machine learning
Cloud Computing
agile methodology
TensorFlow
Pytorch
product design
Data Science
Governance
Machine Learning Operations
information technology
COMPUTER VISION
Business Efficiency
Personalisation
Recommender Systems
Retail Commerce
Ethics
Job Details
Job Summary: AI Solutions Architect
- Lead the design and development of AI/ML solutions across enterprise environments.
- Drive AI initiatives focusing on personalization, recommendation systems, computer vision, and operational efficiency.
- Apply advanced knowledge of machine learning algorithms, frameworks, and best practices to deliver robust AI solutions.
- Utilize hands-on expertise in modern ML frameworks (e.g., PyTorch, TensorFlow) and cloud-based AI services.
- Implement MLOps practices for efficient model deployment, monitoring, and lifecycle management.
- Collaborate with cross-functional teams to translate complex business problems into scalable AI solutions.
- Employ agile methodologies to manage AI/ML product development projects.
- Ensure AI governance, ethics, and responsible AI practices are embedded in all solutions.
- Bring industry knowledge and experience, especially in retail or e-commerce sectors.
- Mentor teams and provide technical leadership in AI/ML best practices and innovation.
- Lead the design and development of AI/ML solutions across enterprise environments.
- Drive AI initiatives focusing on personalization, recommendation systems, computer vision, and operational efficiency.
- Apply advanced knowledge of machine learning algorithms, frameworks, and best practices to deliver robust AI solutions.
- Utilize hands-on expertise in modern ML frameworks (e.g., PyTorch, TensorFlow) and cloud-based AI services.
- Implement MLOps practices for efficient model deployment, monitoring, and lifecycle management.
- Collaborate with cross-functional teams to translate complex business problems into scalable AI solutions.
- Employ agile methodologies to manage AI/ML product development projects.
- Ensure AI governance, ethics, and responsible AI practices are embedded in all solutions.
- Bring industry knowledge and experience, especially in retail or e-commerce sectors.
- Mentor teams and provide technical leadership in AI/ML best practices and innovation.
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