At a Glance
- Tasks: Lead AI initiatives, build products, and manage a team of data scientists.
- Company: Dynamic startup focused on cutting-edge AI technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a fast-paced team with a culture of experimentation and excellence.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: Expertise in ML, Python, SQL, and experience launching AI products.
The predicted salary is between 80000 - 100000 € per year.
We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture.
Key Responsibilities:
- Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready.
- Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics.
- Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases.
- Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence.
- Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business.
Required Qualifications:
- ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch).
- Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered.
- Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact.
- Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics.
- Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders.
Preferred Skills:
- Entrepreneurial background or experience in early-stage startups.
- High analytical and technical acumen with an obsession for speed-to-market.
Applied AI Lead employer: We Love Alfa
Join a forward-thinking company that champions innovation and creativity, offering an exceptional work culture where your ideas can flourish. As an Applied AI Lead, you will benefit from a collaborative environment that prioritises employee growth through mentorship and hands-on experience, all while working in a vibrant location that fosters networking and professional development. With a focus on cutting-edge technology and a commitment to delivering impactful AI solutions, this role provides a unique opportunity to shape the future of our products and make a significant difference in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Lead
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry conferences. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python, TensorFlow, or PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Be ready to explain complex concepts in simple terms, as you'll need to impress both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Applied AI Lead
Some tips for your application 🫡
Show Your Technical Prowess:Make sure to highlight your experience with Python, SQL, and deep learning libraries like TensorFlow or PyTorch. We want to see how you've applied these skills in real-world scenarios, so don't hold back on the details!
Demonstrate Product Ownership:Talk about your journey in launching AI products from scratch. We’re keen to know how you’ve managed the full product lifecycle, from vision to implementation, and how your work has made an impact on users.
Communicate Clearly:Since you'll be translating complex concepts for senior management, showcase your communication skills in your application. Use clear, concise language and provide examples of how you've influenced stakeholders in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at We Love Alfa
✨Showcase Your Technical Mastery
Make sure to highlight your hands-on experience with Python, SQL, and deep learning libraries like TensorFlow or PyTorch. Prepare specific examples of projects where you've deployed AI solutions at scale, as this will demonstrate your ability to bridge the gap between technical skills and commercial product delivery.
✨Demonstrate Product Ownership
Be ready to discuss your experience in owning the full product lifecycle. Share stories about how you’ve taken a product from vision to implementation, focusing on the impact it had on users and the business. This will show that you understand the importance of aligning technical work with business goals.
✨Communicate Like a Pro
Since you'll be translating complex concepts for senior management, practice explaining your technical projects in simple terms. Use analogies or visuals if possible, and prepare to answer questions from a non-technical perspective. This will showcase your exceptional communication skills and ability to influence stakeholders.
✨Lead with Confidence
As a potential team leader, be prepared to discuss your approach to mentoring and managing a team of data scientists. Share your philosophy on fostering a culture of experimentation and engineering excellence. This will help interviewers see you as a strategic partner who can inspire and guide a team towards success.
