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- Tasks: Design and develop AI-driven workflow automation solutions for diverse business clients.
- Company: Join Twine, a leading freelance marketplace connecting top talent with innovative companies.
- Benefits: Flexible remote work, competitive pay, and the chance to work on exciting projects.
- Other info: Collaborate with a dynamic team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by automating workflows and enhancing decision-making with cutting-edge AI.
- Qualifications: Experience in AI engineering, machine learning, and strong Python skills required.
The predicted salary is between 36000 - 60000 £ per year.
Join a dynamic project focused on building advanced AI-driven workflow automation solutions for diverse business clients. This freelance role centres 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 behaviour 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.
AI Engineer – Workflow Automation employer: Twine
Contact Detail:
Twine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer – Workflow Automation
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have a lead on that perfect freelance gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to workflow automation. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when applying for roles.
✨Tip Number 3
Tailor your approach! When reaching out to potential clients or companies, customise your pitch to highlight how your skills can solve their specific challenges. Mention your experience with Python and relevant frameworks to grab their attention.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AI engineers like you. Keep an eye on our listings and jump on roles that excite you – it’s a great way to get noticed!
We think you need these skills to ace AI Engineer – Workflow Automation
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with AI engineering, machine learning, and backend development, especially using Python. We want to see how your skills align with our project needs!
Showcase Your Projects: Include examples of your previous work that demonstrate your ability to design and deploy AI agents or workflow automation tools. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate attention to detail, so make sure your application is well-structured and free of errors.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Twine
✨Know Your AI Stuff
Make sure you brush up on your AI engineering and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those involving Python and frameworks like TensorFlow or PyTorch. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex challenges in previous roles. Think about situations where you designed and deployed AI agents or automated workflows. Highlight your thought process and the impact of your solutions on the business.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be ready to discuss your experience collaborating with data engineers and backend developers. Share how you gathered requirements and iterated on solutions, as this will demonstrate your ability to work effectively in a team environment.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to present your ideas to non-technical stakeholders. Clear documentation of your processes is also crucial, so be prepared to discuss how you approach this.