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Lead AI Engineer

Dreаmix was founded 18 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.

We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.

We are looking for a skilled and driven Lead AI Engineer to join our team. In this role, you will be responsible for leading the development, implementation, and optimization of advanced AI solutions that deliver business impact and improve user experiences. You will work closely with cross-functional teams to drive innovation and ensure the successful deployment of AI-driven products and services.


Responsibilities:

  • Drive the design, development, and deployment of advanced machine learning models and AI systems to solve complex business challenges
  • Partner with cross-functional teams to translate business requirements into robust technical solutions and actionable insights
  • Lead teams of 3-5 AI/ML engineers, data engineers, and MLOps professionals
  • Work closely with software developers to integrate AI and data-driven modules into larger software solutions, ensuring seamless functionality and performance
  • Mentor and guide junior data scientists and engineers, promoting best practices in AI/ML development
  • Conduct comprehensive data analysis and model validation to ensure the robustness, reliability, and scalability of AI/ML solutions
  • Translate complex technical concepts and results to non-technical stakeholders clearly and persuasively, facilitating informed decision-making
  • Participate in ad hoc pre-sales efforts, leveraging technical expertise to support business development initiatives

Requirements:

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
  • 7-8 years experience in data science, machine learning, or AI engineering, with a demonstrated track record of deploying machine learning models and AI solutions in production environments
  • In-depth knowledge of statistical analysis, predictive modeling, and optimization techniques
  • Proficiency in Python and extensive experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Familiarity with ORM tools like SQLAlchemy and API development libraries such as Flask and FastAPI
  • Strong skills in data processing and analysis using SQL, Pandas, and Spark
  • Experience with cloud computing platforms such as AWS and Azure
  • Exceptional problem-solving skills and a strategic mindset, with the ability to drive change and influence organizational direction
  • Strong leadership capabilities and excellent communication skills, with the ability to engage teams and stakeholders

Nice to have: 

  • Experience in deploying models using containerization and orchestration tools like Docker and Kubernetes
  • Experience with the deployment of Large Language Model (LLM) solutions

What you'll get:

  • A warm and supportive work environment where you can reach your full potential
  • Flexible working hours that allow you to balance your work and personal life
  • Unlimited home office to help you stay productive and focused
  • Opportunities for professional development, including certifications and training
  • Additional benefits for academic teaching and speaking engagements
  • Knowledge-sharing sessions where you can learn from our Dreamix team
  • Team and company-wide events that bring us together
  • Amazing week long summer office and winter office initiatives
  • Additional health insurance and dental allowance to ensure your well-being
  • Multisport card to encourage a healthy and active lifestyle
  • Office massages to help you relax and unwind

If you are interested in the opportunity, send us your CV!

Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!

By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.

What You Should Know About Lead AI Engineer, Dreamix Ltd.

At Dreamix, we believe in creating a supportive and dynamic environment where innovation thrives, and we are thrilled to announce an opening for a Lead AI Engineer. Our company, founded by passionate IT enthusiasts, has grown over 18 years into a powerhouse for software solutions, servicing top enterprises across Germany, the UK, Switzerland, and Silicon Valley. As our Lead AI Engineer, you'll be at the forefront of crafting advanced AI solutions that genuinely enhance user experiences and tackle complex business challenges. You'll manage and inspire a talented team of AI/ML engineers, ensuring the successful implementation and optimization of cutting-edge AI-driven products. Collaborating with cross-functional teams, you'll translate business needs into concrete technical solutions, all while promoting best practices and nurturing the next generation of data scientists. Your expertise in AI and machine learning will not only drive technical excellence but will also empower our clients and stakeholders to make informed decisions by articulating complex concepts into clear, persuasive insights. We’re looking for someone who brings a wealth of experience, creativity, and a passion for personal development to the role. If you seek a place where your skills will be valued and you can truly make an impact, look no further than Dreamix!

Frequently Asked Questions (FAQs) for Lead AI Engineer Role at Dreamix Ltd.
What are the key responsibilities of a Lead AI Engineer at Dreamix?

The Lead AI Engineer at Dreamix will be responsible for driving the design, development, and deployment of advanced machine learning models and AI systems. This includes leading a team of AI/ML engineers, collaborating with cross-functional teams to craft technical solutions, and conducting data analysis to ensure solution reliability. Furthermore, mentoring junior engineers and participating in pre-sales efforts to support business initiatives are also part of the role.

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What qualifications are required for the Lead AI Engineer position at Dreamix?

To join Dreamix as a Lead AI Engineer, candidates should have a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, along with 7-8 years of experience in data science or AI engineering. Proficiency in Python and popular ML frameworks like TensorFlow, as well as strong skills in data analysis using SQL, Pandas, and Spark, are essential. Experience with cloud platforms such as AWS or Azure is also highly desirable.

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What skills are essential for success as a Lead AI Engineer at Dreamix?

The successful Lead AI Engineer at Dreamix must possess exceptional problem-solving skills, a strategic mindset, and the ability to drive change within the organization. Strong leadership capabilities and excellent communication skills will be critical for engaging both team members and stakeholders effectively. Familiarity with containerization tools like Docker and experience deploying large language models will also enhance one's effectiveness in this role.

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What can a Lead AI Engineer expect from the work culture at Dreamix?

At Dreamix, the work culture is centered around partnership rather than transaction. We prioritize mastery, teamwork, and personal development, creating a warm and supportive work environment. Our flexible working hours, emphasis on knowledge-sharing, and various health incentives reflect our commitment to the well-being and professional growth of our employees. It’s a place where your contributions genuinely matter.

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How does Dreamix support the professional development of its Lead AI Engineers?

Dreamix is dedicated to the continuous professional development of our Lead AI Engineers by offering opportunities for certifications and training, alongside participation in teaching and speaking engagements. We also provide knowledge-sharing sessions that allow you to learn and grow with the Dreamix team, ensuring that you are always at the cutting edge of your field.

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Common Interview Questions for Lead AI Engineer
Can you describe a project where you implemented an AI solution?

When answering, focus on the specifics of the project such as the problem it solved, the technology used, and the impact it had on the business. Be sure to highlight your role in the project, the challenges faced, and how you led your team to success.

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How do you ensure the reliability and scalability of machine learning models?

Discuss your approach to model validation and testing. Mention techniques such as cross-validation, A/B testing, and monitoring model performance post-deployment. Highlight any tools you’ve used to ensure models are robust and can handle increased loads.

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What is your experience with leading teams in AI projects?

Share specific examples of how you've managed teams, your leadership style, and how you foster collaboration. Emphasize your ability to mentor junior engineers and to encourage a culture of innovation and best practices.

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How do you stay updated on the latest AI technologies and trends?

Explain your methods for continuous learning, such as attending conferences, participating in online courses, or following influential industry leaders. Showing a proactive approach to your professional development reflects your commitment to the field.

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What tools and frameworks are you most comfortable with?

Be specific about your experience with various machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Discuss any cloud platforms you've worked with (AWS, Azure), and how these tools have contributed to your success in previous roles.

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Can you give an example of translating complex technical concepts for non-technical stakeholders?

Share an anecdote where you successfully communicated AI-related information to a non-technical audience. Emphasize your ability to simplify complex ideas, ensuring stakeholders understand the implications and benefits.

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What challenges have you faced while deploying AI solutions, and how did you overcome them?

Reflect on a significant challenge—be it technical, organizational, or related to stakeholders—and explain how you addressed it. Highlight your problem-solving skills and the lessons learned to emphasize your growth.

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Describe your experience with cloud-based machine learning environments.

Talk about any projects where you utilized cloud services for ML. Discuss the advantages of using a cloud environment, like scalability and flexibility, and detail specific services you’ve used.

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How do you approach mentoring junior engineers?

Illustrate your mentorship philosophy, detailing your commitment to helping junior team members grow. Share techniques you've used, such as code reviews, pair programming, and regular one-on-one check-ins.

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What metrics do you find most important when evaluating AI performance?

Discuss specific metrics such as accuracy, precision, recall, or ROC-AUC. Explain why you find these metrics relevant based on the context of the projects you've worked on, and how they guide your improvements.

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DATE POSTED
January 14, 2025

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