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- Tasks: Lead the design and implementation of scalable AI solutions using MLOps and LLM technologies.
- Company: Join Cognitive Group, a part of Focus Cloud Group, specialising in IT services and consulting.
- Benefits: Enjoy flexible working options and the chance to work with cutting-edge technology.
- Why this job: Be at the forefront of AI integration, making a real impact in enterprise solutions.
- Qualifications: Experience in AI/ML, cloud architecture, and MLOps is essential for this mid-senior level role.
- Other info: This is a contract position based in Milton Keynes, perfect for tech enthusiasts.
The predicted salary is between 43200 - 72000 ÂŁ per year.
1 week ago Be among the first 25 applicants
I am looking for a Solution Architect/Designer with strong experience in MLOps and hands-on expertise in deploying real-world AI and LLM-based solutions at scale.
Role Overview:
- Provide technical leadership and architectural guidance for implementing scalable LLM (Large Language Model) solutions.
- Support integration of AI services (primarily from Azure and AWS ) with Moodle , which serves as the front-end of the current application.
- Work collaboratively with the client’s infrastructure and development teams , already engaged in the project.
- Identify, document, and articulate the key challenges, trade-offs, and considerations when integrating and scaling LLM services within the Moodle framework.
- Ensure that MLOps best practices are considered throughout the solution lifecycle, from development and deployment to monitoring and maintenance.
- Technical findings and observations
- Integration challenges specific to Moodle and AI backend services
- Architectural and operational recommendations for deploying and scaling the solution
- Best practices for managing and monitoring LLM services within a Moodle-based application
This engagement is ideal for someone with a blend of AI/ML, cloud architecture, and MLOps experience who can bridge the gap between cutting-edge AI technologies and real-world enterprise integration requirements.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Contract
Job function
-
Industries
IT Services and IT Consulting
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Solution Architect - MLOps & GenAI employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - MLOps & GenAI
✨Tip Number 1
Familiarise yourself with the specific MLOps tools and frameworks that are commonly used in the industry, especially those that integrate well with Azure and AWS. This knowledge will not only help you during interviews but also demonstrate your proactive approach to understanding the technical landscape.
✨Tip Number 2
Network with professionals who are currently working in MLOps or AI solution architecture roles. Engaging with them on platforms like LinkedIn can provide you with insider insights about the role and the company culture, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully integrated AI solutions in previous projects. Highlighting your hands-on experience with LLMs and MLOps best practices will set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest trends and challenges in AI and MLOps, particularly those related to Moodle integration. Being able to speak knowledgeably about current issues will show your commitment to the field and your readiness to tackle the challenges of the role.
We think you need these skills to ace Solution Architect - MLOps & GenAI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Solution Architect position. Familiarise yourself with MLOps, AI services integration, and the specific challenges related to Moodle.
Tailor Your CV: Highlight your relevant experience in MLOps, cloud architecture, and AI solutions. Use specific examples that demonstrate your hands-on expertise in deploying LLM-based solutions and your ability to work collaboratively with development teams.
Craft a Compelling Cover Letter: In your cover letter, articulate your understanding of the integration challenges between AI services and Moodle. Discuss how your background makes you a suitable candidate for providing architectural guidance and technical leadership.
Showcase Your Technical Skills: Include any certifications or projects that showcase your skills in Azure, AWS, and MLOps best practices. Mention any specific tools or methodologies you have used in previous roles that align with the job description.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your MLOps Expertise
Be prepared to discuss your hands-on experience with MLOps. Highlight specific projects where you've deployed AI solutions at scale, particularly those involving LLMs. This will demonstrate your technical leadership and understanding of the challenges involved.
✨Understand Moodle Integration
Familiarise yourself with how AI services integrate with Moodle. Be ready to articulate potential integration challenges and how you would address them. This shows that you can bridge the gap between AI technologies and real-world applications.
✨Discuss Architectural Considerations
Prepare to talk about architectural trade-offs when implementing scalable LLM solutions. Discuss best practices for managing and monitoring these services within a Moodle-based application, showcasing your strategic thinking.
✨Collaborative Mindset
Emphasise your ability to work collaboratively with infrastructure and development teams. Share examples of past experiences where teamwork led to successful project outcomes, as this role requires strong collaboration skills.
