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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 passion for the field.
✨Tip Number 2
Showcase your experience with automation tools and CI/CD pipelines in conversations or networking events. Being able to discuss specific projects where you've improved efficiency will set you apart from other candidates.
✨Tip Number 3
Engage with professionals in the AI community through forums, webinars, or local meetups. Building connections can provide insights into the company culture at Volaris and may even lead to referrals.
✨Tip Number 4
Prepare to discuss how you've tackled undefined challenges in past roles. Highlighting your problem-solving skills and adaptability will resonate well with the expectations for this position.
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, system modernization, and automation. Use specific examples that demonstrate measurable improvements you've achieved in previous roles.
Craft a Compelling Cover Letter: In your cover letter, focus on your problem-solving skills and adaptability. Mention how your expertise aligns with the responsibilities of the Senior AI Engineer role and provide examples of past projects that showcase your impact.
Showcase Collaboration Skills: Emphasise your experience working in cross-functional teams. Provide examples of how you’ve collaborated with different departments to deliver high-impact projects, as this is crucial for the role at Volaris.
Highlight 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 essential for the 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 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, think of instances where you've successfully collaborated with diverse teams. Be ready to discuss how you communicated technical concepts to non-technical audiences.
✨Focus on Tangible Results
When discussing your previous work, emphasise measurable outcomes. Use the 'show, don’t tell' approach by providing concrete examples of how your contributions led to efficiency improvements or project success.
