AI/ML Engineer for Martketing Agent Development
Budget: $8 – $15 USD
Seeking a skilled AI/ML Engineer capable of building intelligent agents with CrewAI. Our primary goal is to develop an AI-driven system that enhances decision-making across various facets of retail, focusing on training, marketing, and regulatory compliance. This project is on a fast track with an expected completion timeline of one month.
Responsibilities:
Develop, train, and deploy intelligent agents using CrewAI.
Implement models that enhance decision-making in training, marketing, and compliance within the retail sector.
Apply ML Ops principles to streamline deployment, monitoring, and maintenance of AI systems.
Collaborate with team members to understand industry-specific challenges and optimize agent performance for retail decision-making.
Requirements:
Proven experience in AI/ML engineering with hands-on knowledge of CrewAI.
Strong understanding of ML Ops practices, including model deployment, scaling, and monitoring.
Previous experience with AI in retail, especially in training, marketing, or compliance is a plus.
Ability to work independently and deliver a completed project within one month.
Preferred Qualifications:
Experience in the retail industry or regulated retail spaces.
Demonstrated ability to work with regulatory compliance requirements.
Application Requirements:
Please submit your application with a summary of relevant experience and examples of previous projects, specifically those involving CrewAI or retail decision-making agents.
Deadline to Apply: ASAP
Responsibilities:
Develop, train, and deploy intelligent agents using CrewAI.
Implement models that enhance decision-making in training, marketing, and compliance within the retail sector.
Apply ML Ops principles to streamline deployment, monitoring, and maintenance of AI systems.
Collaborate with team members to understand industry-specific challenges and optimize agent performance for retail decision-making.
Requirements:
Proven experience in AI/ML engineering with hands-on knowledge of CrewAI.
Strong understanding of ML Ops practices, including model deployment, scaling, and monitoring.
Previous experience with AI in retail, especially in training, marketing, or compliance is a plus.
Ability to work independently and deliver a completed project within one month.
Preferred Qualifications:
Experience in the retail industry or regulated retail spaces.
Demonstrated ability to work with regulatory compliance requirements.
Application Requirements:
Please submit your application with a summary of relevant experience and examples of previous projects, specifically those involving CrewAI or retail decision-making agents.
Deadline to Apply: ASAP
Related categories:
Machine Learning (ML)
Artificial Intelligence
Pytorch
AWS SageMaker
Hugging Face