AI Engineer – Workflow Automation
Role summary
This freelance AI Engineer role focuses on designing, developing, and deploying advanced AI-driven workflow automation solutions for diverse business clients. The position involves creating AI agents, predictive models, and custom generative AI tools to streamline operations and enhance decision-making. Key responsibilities include building and maintaining Python-based backend systems, integrating generative AI, and collaborating with cross-functional teams. The role requires strong proficiency in Python and relevant ML frameworks, with a focus on practical application and deployment of AI solutions in business environments.
Join a dynamic project focused on building advanced AI-driven workflow automation solutions for diverse business clients. This freelance role centers on designing, developing, and deploying intelligent systems that streamline operations, reduce manual intervention, and enhance decision-making. You will collaborate with a team of data engineers, machine learning specialists, and backend developers to deliver bespoke AI agents, predictive models, and custom generative AI tools tailored to specific business challenges.
Deliverables
- Develop and implement AI agents to automate complex client workflows.
- Design and train machine learning models for tasks such as churn prediction and customer behavior analysis.
- Build and maintain backend systems, primarily using Python, to support AI-driven solutions.
- Integrate generative AI tools into existing business processes to address key operational challenges.
- Collaborate with cross-functional teams to gather requirements, iterate on solutions, and ensure successful deployment.
- Document technical processes and provide ongoing support for delivered solutions.
Requirements
- Proven experience in AI engineering, machine learning, and backend development.
- Strong proficiency in Python and familiarity with relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Demonstrated ability to design, build, and deploy AI agents and workflow automation tools.
- Experience with data engineering, model training, and integrating AI solutions into business environments.
- Solid understanding of predictive analytics, generative AI, and automation best practices.
- Excellent problem-solving skills and the ability to work independently or as part of a distributed team.
- Strong communication skills and attention to detail.
- Availability for remote, project-based freelance work.
About Twine
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