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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: Make a real impact with AI while collaborating with top industry professionals.
- Qualifications: Strong AI knowledge and proven project success are essential.
- 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.
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 by preparing specific examples of how you've improved efficiency in past projects. Being able to discuss tangible results will set you apart from other candidates.
✨Tip Number 3
Emphasise your collaborative skills by preparing anecdotes that highlight successful teamwork across different functions. Volaris values cross-functional collaboration, so demonstrating your ability to work well with others is crucial.
✨Tip Number 4
Be ready to discuss how you've tackled undefined challenges in previous roles. This will showcase your problem-solving abilities and adaptability, which are key competencies for the Senior AI Engineer position 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, like improvements in classification accuracy, to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, focus on your problem-solving skills and adaptability. Share specific examples of how you've modernised legacy systems or developed automated solutions that enhanced efficiency, aligning your experiences with the job description.
Showcase Collaboration Skills: Highlight your experience working in cross-functional teams. Provide examples of how you’ve collaborated with different departments to deliver high-impact projects, as this role requires strong teamwork and communication skills.
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, which is crucial for the Senior AI Engineer position.
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 hypothetical scenarios during the interview. Practice articulating your thought process for tackling undefined challenges, showcasing your adaptability and innovative thinking.
✨Prepare Tangible Examples
When discussing your past work, focus on practical examples that illustrate your impact. Use the 'show, don’t tell' approach to convey how your contributions have led to measurable improvements in efficiency or project outcomes.
✨Engage in Collaborative Discussion
Since the role involves cross-functional teamwork, be ready to discuss how you've successfully collaborated with diverse teams. Share experiences that highlight your ability to communicate complex topics clearly to non-technical audiences.
