At a Glance
- Tasks: Lead a dynamic AI engineering team and drive innovative AI solutions in telecommunications.
- Company: Join a forward-thinking telecom company focused on cutting-edge AI technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting environment with endless opportunities for career advancement.
- Why this job: Shape the future of AI in telecom and make a real impact with your skills.
- Qualifications: Experience in AI development, leadership skills, and a passion for technology.
The predicted salary is between 36000 - 60000 € per year.
Lead and scale a high-performing AI engineering team while driving end-to-end delivery of AI solutions from ideation through production deployment in the telecommunications sector.
Responsibilities:
- Team Leadership & Development: Build, manage, and mentor a team of AI Engineers and researchers through hiring, onboarding, and regular 1:1s. Foster technical excellence by documenting and championing engineering best practices. Conduct daily/weekly/monthly delivery ceremonies including stand-ups and sprint planning.
- Strategic Delivery & Roadmap Ownership: Co-own and execute the AI roadmap alongside the AI Solution Architect. Manage the AI engineering backlog, prioritising initiatives in collaboration with the Solution Architect. Translate business requirements into actionable AI backlogs with product managers. Own complete AI delivery lifecycle from concept to production deployment.
- Stakeholder Management & Governance: Coordinate across organisational stakeholders including Data Governance, Security, and country business teams. Manage delivery expectations by clearly defining experiments, rollouts, and solution iterations. Ensure compliance with internal and external governance frameworks and regulations. Advocate for AI trends and technological advancements relevant to telecommunications.
- Quality & Performance Management: Maintain high standards in AI delivery and operations. Track team progress and solution performance using relevant KPIs and metrics. Adhere to AI development and delivery engineering lifecycle standards.
Skills & Requirements:
- Hands-on coding skills and active involvement in AI development.
- Practical experience in AI operations and MLOps.
- Knowledge of digital and data technologies including web/mobile applications and DataLake architectures.
- Leadership Excellence: Proven track record in people management and delivery leadership.
- AI Project Experience: Hands-on exposure to AI initiatives including GenAI, voice bots, AI agents, and similar technologies.
- Technical Foundation: Solid understanding of software engineering fundamentals and principles.
- Business Acumen: ROI-focused mindset for evaluating and delivering AI solutions.
- Cloud & AI Expertise: Working knowledge of cloud platforms and familiarity with AI tools, frameworks, and concepts including LLMs, RAG, prompt engineering, and Python programming.
AI Engineering Manager employer: Lebara Media Services Private Ltd
As an AI Engineering Manager at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of AI in the telecommunications sector. We pride ourselves on fostering a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, while also offering competitive benefits and a commitment to work-life balance. Join us in a location that not only supports your professional aspirations but also provides a vibrant community and access to cutting-edge technology.
Contact Detail:
Lebara Media Services Private Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the telecommunications sector and let them know you're on the lookout for AI Engineering Manager roles. A friendly chat can lead to insider info or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! If you've got hands-on coding experience or have worked on AI projects, create a portfolio or GitHub repository showcasing your work. This gives potential employers a taste of what you can bring to the table and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s AI initiatives. Understand their current projects and challenges in the telecommunications space. This way, you can tailor your responses to show how your experience aligns with their needs and demonstrate your strategic thinking.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, it shows you’re genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI engineering and team leadership, and don’t forget to mention any hands-on coding skills you have. We want to see how you can lead and scale a high-performing team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background aligns with our needs. Share specific examples of your past projects and how they relate to the telecommunications sector.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Make sure to include your knowledge of AI tools, cloud platforms, and any relevant programming languages like Python. We’re looking for someone who can dive into the nitty-gritty of AI development.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you in front of the right people. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Lebara Media Services Private Ltd
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around the technologies mentioned in the job description like GenAI and MLOps. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you've built or mentored a team, managed projects, or navigated challenges. This role is all about leading a high-performing team, so demonstrate how you can inspire and guide others.
✨Understand the Business Side
Familiarise yourself with the telecommunications sector and how AI solutions can drive ROI. Be prepared to discuss how you've translated business requirements into actionable AI projects in the past, showing that you can bridge the gap between tech and business.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on your coding skills and be ready to discuss software engineering principles. You might even be asked to solve a problem on the spot, so practice coding challenges related to AI development.
