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- Tasks: Design and implement innovative data solutions using Azure services and AI models.
- Company: Join Bytes Technology Group, a leading IT solutions provider and Microsoft’s #1 UK Partner.
- Benefits: Enjoy ongoing training, career growth opportunities, and a supportive work culture.
- Why this job: Be part of a dynamic team transforming IT infrastructures for diverse clients while enhancing your skills.
- Qualifications: 5+ years in technical consulting, expertise in Azure, and strong programming skills required.
- Other info: Ideal for those passionate about data engineering and AI development.
The predicted salary is between 36000 - 60000 £ per year.
Bytes Technology Group is a leading provider of world-class IT solutions represented by Bytes Software Services and Phoenix Software, established in 1982. Bytes has grown rapidly and now employs over 450 people across 5 locations in the UK and Ireland. Our turnover in Financial Year 2019 was in excess of £520M. We work with SMEs, corporates, and public sector organisations to modernise and digitally transform their IT infrastructures. We invest in our employees through ongoing support, training, and advice to help them achieve their career aspirations, rewarding success both financially and personally. There is opportunity to grow and move internally which can be seen through our long-standing employees who have developed existing and new skills to move into senior positions in the organisation, leaving space for new team members to begin their journey.
PURPOSE OF JOB: The Data & AI Solutions Architect will be instrumental in designing, implementing, and optimizing data solutions while seamlessly integrating cutting-edge AI models using Azure services. This customer-centric position involves delivering projects and conducting workshops, making it an excellent opportunity for a passionate individual with a robust background in data engineering and AI development on the Azure platform.
Role Responsibilities:
- Have 5+ years of technical consulting (or equivalent) experience.
- Design, develop, and implement data solutions leveraging Azure services.
- Create scalable and reliable data pipelines for data processing, transformation, and storage.
- Experience with Copilot Studio.
- Implement robust security measures to protect sensitive data within Azure environments.
- Integrate AI and machine learning models into data pipelines and applications.
- Develop and deploy AI solutions using Azure Machine Learning services.
- Monitor and optimize data solutions for performance and efficiency.
- Troubleshoot and resolve issues related to data processing and AI model performance.
- Collaborate with cross-functional teams to understand data requirements.
- Document design, implementation, and maintenance procedures for data and AI solutions.
- Independently analyse and solve complex data and AI engineering challenges.
- Stay updated on the latest Azure data and AI technologies and best practices.
- Proactively identify opportunities to enhance skills and knowledge.
- Effectively communicate technical concepts to both technical and non-technical stakeholders.
- Collaborate with team members to share insights and contribute to a knowledge-sharing culture.
Key Requirements:
- Expertise in designing and implementing data models and data warehousing solutions.
- Knowledge of machine learning algorithms and experience in deploying models in production.
- In-depth understanding of Azure services and capabilities related to data and AI.
- Ability to analyse complex problems and develop innovative, scalable solutions.
- Proven ability to work effectively in a collaborative, cross-functional team environment.
- Experience with AI development using Azure Machine Learning.
- Strong programming skills in languages such as Python, SQL, or C#.
- 3+ years working with production data workloads in Azure.
Professional Qualifications: Ideally relevant Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Consulting
Industries: IT Services and IT Consulting
Data and AI Architect employer: Bytes Software Services
Contact Detail:
Bytes Software Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI Architect
✨Tip Number 1
Make sure to showcase your experience with Azure services in your conversations. Highlight specific projects where you've designed and implemented data solutions, as this will resonate well with the hiring team.
✨Tip Number 2
Network with current employees at Bytes Technology Group on platforms like LinkedIn. Engaging with them can provide insights into the company culture and may even lead to a referral, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your knowledge of machine learning algorithms and how you've deployed models in production. Being able to articulate your hands-on experience will demonstrate your capability for the role.
✨Tip Number 4
Stay updated on the latest trends in data and AI technologies, especially those related to Azure. Mentioning recent developments or best practices during your discussions can show your passion and commitment to continuous learning.
We think you need these skills to ace Data and AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and AI development, particularly with Azure services. Use specific examples that demonstrate your expertise in designing and implementing data solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and AI, as well as your understanding of Bytes Technology Group's mission. Mention how your skills align with the role and how you can contribute to their projects.
Highlight Relevant Experience: In your application, emphasise your 5+ years of technical consulting experience and any relevant Azure certifications. Be sure to include specific projects where you've successfully integrated AI models or optimised data solutions.
Showcase Soft Skills: Since the role involves collaboration with cross-functional teams, highlight your communication skills and ability to work effectively in a team environment. Provide examples of how you've successfully communicated complex technical concepts to non-technical stakeholders.
How to prepare for a job interview at Bytes Software Services
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Azure services and data solutions during the interview. Be prepared to discuss specific projects where you've designed and implemented data models or AI solutions, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Prepare for Scenario-Based Questions
Expect questions that require you to analyse complex problems and propose innovative solutions. Practise articulating your thought process clearly, as this will help interviewers understand how you approach challenges in data engineering and AI development.
✨Communicate Effectively with Stakeholders
Since the role involves working with both technical and non-technical teams, be ready to showcase your ability to explain complex concepts in simple terms. Share examples of how you've successfully communicated technical information to diverse audiences in previous roles.
✨Demonstrate a Growth Mindset
Bytes Technology Group values ongoing learning and development. Be prepared to discuss how you stay updated on the latest Azure technologies and best practices, and share any relevant certifications or training you've pursued to enhance your skills.
