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For Companies At a Glance
- Tasks: Lead AI-driven projects, modernise systems, and enhance developer efficiency.
- Company: Join Volaris, a leader in innovative AI solutions and software development.
- Benefits: Enjoy career growth, collaborative culture, and the chance to work on cutting-edge projects.
- Why this job: Be at the forefront of AI transformation, making a real impact across industries.
- Qualifications: Deep understanding of AI, proven project success, and a passion for continuous learning.
- Other info: Opportunity to lead a small team and set benchmarks for efficiency.
The predicted salary is between 54000 - 84000 £ per year.
Key Highlights
- AI/ML Solutions: Built scalable AI tools and pipelines (e.g., fine-tuning BERT, multimodal ML models) and delivered measurable improvements like a 10% boost in classification accuracy.
- System Modernization: Proficient in optimizing workflows, reducing technical debt, and modernizing legacy systems.
- Automation and Efficiency: Developed automated solutions, including CI/CD pipelines, testing frameworks, and predictive models to enhance efficiency.
- Collaboration and Impact: Demonstrated success in cross-functional teamwork and delivering high-impact, scalable projects across industries.
Role Overview
As an AI-Powered Solutions Developer, you will be at the forefront of Volaris' transformation efforts. Your role will involve modernizing legacy systems, enhancing developer efficiency, reducing technical debt, and applying AI-driven tools to optimize workflows. This is a hands-on role for someone eager to explore unproven areas, create innovative solutions, and deliver tangible results. You’ll collaborate with development teams across businesses to build tools, establish best practices, and showcase how AI can create measurable improvements. With the opportunity to evolve into leading a small team, your work will set new benchmarks for efficiency and modernisation across Volaris.
Competencies
- High Impact: Thrives in a small, focused team with high expectations for delivering value.
- Problem Solver: Comfortable exploring and solving unproven or undefined challenges.
- AI Expertise: Strong understanding of AI, LLMs (Large Language Models), and emerging generators.
- Continuous Learner: Driven to seek out, learn, and apply new technologies.
- Adaptable: Proficient in switching across technologies, toolsets, and working with both legacy and modern systems.
- Project Focused: Maintains a clear focus on milestones and timelines.
Key Responsibilities
- Blend technical expertise with clear, impactful storytelling.
- Focus demos on policy relevance and audience-specific needs.
- Prioritise practical, tangible examples over abstract theory (“show, don’t tell”).
- Illustrate both opportunities and risks clearly.
- Make complex topics accessible to non-technical audiences.
- Demonstrate AI’s real-world implications explicitly (national security, government applications).
- Maintain a library of adaptable, scenario-specific demonstrations.
- Collaborate closely across technical, research, and policy teams.
- Anticipate future capabilities and societal impacts in demos.
- Balance accuracy with simplicity and clarity in presentations.
Qualifications
- Deep understanding of AI and its applications in full software development lifecycle.
- Track record of successfully implementing projects with measurable results.
Why Join Volaris?
- Innovative Projects: Explore cutting-edge AI applications in software development.
- Career Growth: Shape the future of development within Volaris and influence teams across businesses.
- Collaborative Environment: Work alongside industry leaders in a results-driven culture.
Locations
Senior AI Engineer employer: Volaris Group
Contact Detail:
Volaris Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in areas like BERT and multimodal models. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Showcase your experience with automation tools and CI/CD pipelines in your discussions. Be prepared to share specific examples of how you've improved efficiency in past projects, as this aligns closely with the role's focus on modernising systems and enhancing developer workflows.
✨Tip Number 3
Highlight your collaborative skills by discussing past experiences where you worked cross-functionally. Emphasise how you contributed to high-impact projects and how your teamwork led to measurable improvements, which is crucial for the role at Volaris.
✨Tip Number 4
Prepare to discuss how you approach problem-solving in undefined areas. Think of examples where you've tackled complex challenges and how your innovative solutions made a difference. This will resonate well with the expectations for a Senior AI Engineer at Volaris.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions, particularly any projects involving BERT or multimodal ML models. Emphasise measurable results you've achieved, such as improvements in classification accuracy.
Craft a Compelling Cover Letter: In your cover letter, showcase your problem-solving skills and adaptability. Mention specific examples of how you've modernised legacy systems or developed automated solutions that enhanced efficiency.
Showcase Collaboration Skills: Since the role involves cross-functional teamwork, include examples of successful collaborations in your application. Highlight how you’ve worked with diverse teams to deliver high-impact projects.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or self-directed learning related to AI and emerging technologies. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Volaris Group
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI and ML solutions in detail. Highlight specific projects where you've built scalable tools or improved classification accuracy, as this aligns closely with the role's requirements.
✨Demonstrate Problem-Solving Skills
Expect to face questions that assess your ability to tackle undefined challenges. Share examples of how you've approached complex problems in the past, particularly in modernising legacy systems or optimising workflows.
✨Prepare for Collaborative Scenarios
Since the role involves cross-functional teamwork, be ready to discuss how you've successfully collaborated with different teams. Emphasise your communication skills and ability to convey technical concepts to non-technical audiences.
✨Focus on Tangible Results
When discussing your previous work, prioritise practical examples that demonstrate measurable outcomes. Use the 'show, don’t tell' approach to illustrate how your contributions have led to significant improvements in efficiency or project success.
