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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 talent.
- 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 48000 - 72000 £ 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. Be prepared to discuss specific projects where you've implemented these solutions, as this aligns closely with the role's focus on enhancing efficiency and modernising systems.
✨Tip Number 3
Highlight your collaborative skills by sharing examples of successful cross-functional teamwork. Emphasise how your contributions have led to high-impact results, as this is crucial for the role at Volaris.
✨Tip Number 4
Prepare to discuss how you've tackled undefined challenges in previous roles. Being able to articulate your problem-solving approach will resonate well with the expectations for this position, especially in exploring unproven areas.
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 align with the job's key highlights.
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, and explain how these experiences make you a great fit for the role.
Showcase Collaboration Skills: Since the role involves cross-functional teamwork, include examples in your application that demonstrate your ability to work collaboratively. Highlight any past experiences where you successfully delivered high-impact projects with diverse teams.
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 the field and aligns with the company's focus on innovation and growth.
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 questions that assess your ability to tackle undefined challenges. Prepare examples of how you've approached complex problems in previous roles, particularly those involving legacy systems or technical debt.
✨Focus on Collaboration
Since the role involves cross-functional teamwork, be ready to share experiences where you've successfully collaborated with diverse teams. Emphasise your ability to communicate complex ideas clearly to non-technical audiences.
✨Prepare for Practical Demonstrations
The interview may involve discussing practical applications of AI. Think of tangible examples from your past work that illustrate AI's real-world implications, especially in areas like national security or government applications.
