At a Glance
- Tasks: Lead a team to design and build scalable AI solutions using cutting-edge technologies.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic workplace with a focus on continuous learning and career advancement.
- Why this job: Make a real impact in the AI field while mentoring the next generation of engineers.
- Qualifications: 8-12 years in AI/ML development with strong leadership and technical skills.
The predicted salary is between 80000 - 100000 € per year.
Responsibilities
- Responsible for leading a team of talented AI Analysts or Engineers responsible for designing, building, and maintaining scalable AI solutions.
- Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering).
- Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow.
- Lead, mentor, and develop a team of AI Engineers, fostering a collaborative and inclusive team environment.
- Identify and address skill gaps, and provide opportunities for professional development.
- Coordinate with stakeholders to gather requirements, set priorities, and define project timelines.
- Ensure projects align with overall business objectives and data strategy.
- Ensure data quality, integrity, and security across all data engineering projects.
- Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations.
- Ability to build/drive reusable frameworks that can drive efficiency of the overall data system.
- Manage conversations with client stakeholders to understand the requirement and translate it into technical outcomes.
Required Skills
- 8-12 years of experience in the development and deployment of scalable AI/ML solutions.
- Strong execution knowledge of data modeling, databases (SQL and NoSQL), software development lifecycle, unit testing, and functional programming.
- Design and optimize Retrieval-Augmented Generation (RAG) solutions.
- Manage Databricks workflows, including job and cluster creation and Databricks API.
- Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques.
- Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development.
- Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers).
- Deploy and orchestrate AI models using Docker and Kubernetes.
- Collaborate using GitHub for version control and team collaboration.
- Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS).
- Utilize PySpark for data processing (optional).
- Basic understanding of CI/CD pipelines and deployment process.
- Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
- Proficient in written and verbal communication and able to hold conversations with mid-management-level clients.
- Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
- Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
- Shows proficiency in providing technical guidance and leadership and mentorship to the delivery team.
- Self-driven with a strong sense of ownership.
Good to Have Skills
- Familiarity with data visualization tools and techniques.
- Knowledge of data security and privacy practices.
- Understanding of data governance and compliance frameworks.
- Experience with graph databases and graph processing frameworks.
- Experience with data virtualization and data federation techniques.
- Proficiency in data profiling and data quality management.
Lead AI Engineer employer: Prepverse
As a Lead AI Engineer at our company, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. We offer competitive benefits, a strong commitment to employee development, and the opportunity to work on cutting-edge AI solutions that make a real impact. Our inclusive work culture fosters creativity and teamwork, ensuring that every voice is heard and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data architectures, team leadership, and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it gives you a direct line to us, making it easier to stand out!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your experience with Generative AI solutions and any leadership roles you've held. We want to see how you can lead our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially in Python, SQL, and cloud platforms. We’re looking for someone who can hit the ground running, so let us know how you’ve used these tools in past projects.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Prepverse
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI solutions, especially LLMs and retrieval techniques. Be ready to discuss your past projects and how you've implemented these technologies. This will show that you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored others or fostered a collaborative environment. Highlight any specific instances where you identified skill gaps and helped your team grow. This will demonstrate your ability to lead effectively.
✨Communicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms. You might need to discuss project requirements with non-technical stakeholders, so being able to translate technical jargon into layman's terms is crucial. Think of examples where you've successfully navigated these conversations.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, especially regarding data quality and integrity. Prepare to discuss how you've tackled challenges in previous roles, focusing on your thought process and the impact of your decisions. This will showcase your analytical abilities and business acumen.
