AI Engineer

This exciting opportunity is with a rapidly growing, boutique data and AI consulting firm based in The Hague. They’re a profitable, self-funded company with a skyrocketing growth trajectory. They foster a collaborative and supportive work environment that prioritizes well-being, professional growth, and a healthy work-life balance through a hybrid work model. Their team has successfully delivered big data and AI solutions to leading companies.

Responsibilities

• Design and develop cutting-edge AI applications on cloud platforms like AWS or Azure, leveraging their powerful ML services.
• Apply proven software engineering practices to ensure the highest quality code, including version control, testing, and thorough documentation.
• Craft insightful and visually appealing dashboards using PowerBI or Amazon QuickSight to communicate complex data to stakeholders.
• Write clean, efficient, and maintainable code primarily in Python, with a strong focus on using PyTorch for building advanced machine learning models.
• Implement robust monitoring, logging, and error handling mechanisms to ensure the reliability and performance of AI applications.
• Architect scalable and maintainable AI solutions that can handle growing datasets and user demands.
• Utilize Infrastructure as Code (IaC) tools like Terraform, AWS CDK, or Pulumi to manage cloud infrastructure efficiently.
• Implement MLOps practices to streamline the deployment and management of machine learning models in production environments.
• Integrate Large Language Models (LLMs) and Chatbots into various applications to enhance user experience and automate tasks.
• Collaborate closely with data scientists, software developers, and product managers to deliver comprehensive AI solutions.
• As part of a dynamic team, you’ll help clients build and productionize innovative products. You’ll tackle a wide range of challenges related to data, cloud infrastructure, and DevOps.
• Your focus will be on delivering timely, tangible, and impactful solutions. You’ll prioritize simplicity and interpretability while leveraging complex tools when necessary.
• You’ll contribute to the team by interviewing and selecting new team members, and you’ll learn valuable interviewing skills in return.
• Actively share your knowledge with the team and learn from their expertise.
• You’ll have the opportunity to specialize in a secondary focus area based on your interests and career goals:
  • Tool developer: If you enjoy coding and building tools.
  • Content developer: If you love writing and sharing your knowledge.
  • Team mentor: If you enjoy guiding and supporting your colleagues.

Requirements

• At least 2+ years of hands-on experience with AWS or Azure, particularly in utilizing their ML services.
• Proficiency in Python and PyTorch, with a solid understanding of machine learning algorithms and their applications.
• Experience creating insightful dashboards with PowerBI or Amazon QuickSight to communicate complex data.
• A strong foundation in software development, with a proven ability to apply best practices in code management, testing, and deployment.
• Knowledge of monitoring and logging tools to ensure the reliability and performance of AI applications.
• Understanding of cloud architecture and best practices for designing scalable and maintainable solutions.
• Expertise in Infrastructure as Code (IaC) tools like Terraform, AWS CDK, or Pulumi.
• Experience implementing MLOps practices for managing machine learning models in production.
• Experience integrating Large Language Models (LLMs) and Chatbots into applications.
• Excellent problem-solving skills and the ability to collaborate effectively in a team environment.
• Strong communication skills, capable of explaining technical concepts to non-technical stakeholders.
• A proactive and self-motivated attitude, with a passion for continuous learning and improvement.
• At least 5+ years of relevant industry experience.
• A client-focused mindset, driven to create simple, elegant solutions that avoid unnecessary complexity.
• A willingness to listen actively, explore context, and build trust with clients.
• A passion for simplifying and clearly explaining complex topics in both written and verbal communication.
• Excellent English communication skills.

Bonus if you have

• AWS or Azure Certifications.
• Experience with additional AI frameworks and libraries beyond PyTorch.
• Familiarity with DevOps practices, Containerization, and CI/CD pipelines.
• Contributions to OpenSource projects related to AI or machine learning.