Machine Learning Engineer

Brainlabs is a digital media agency – we’re passionate about using data and tech to craft marketing strategies that drive real business results for clients. Our 1000+ Brainlabbers partner with some of the world’s largest advertisers to do just that.

Our mission is simple, we want to become the world’s largest independent media agency, famous for delivering high performance and accelerating the careers of Brainlabbers whilst we’re at it.

Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture.

As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code.

This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It’s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together.

You can read The Brainlabs Culture Code in full here.

Role Overview:

We are seeking a talented and motivated Machine Learning Engineer with experience in generative AI, RAG (Retrieval-Augmented Generation) systems, and model deployment. If you’re passionate about AI, have a knack for problem-solving, and enjoy working with the latest technologies, this is the role for you!

Key Responsibilities:

• Generative AI & RAG Systems:

• Develop and optimize generative AI models and RAG systems.

• Design and implement effective prompting techniques for various applications.

• Collaborate with data scientists to enhance model performance and capabilities.

• Model Deployment & Dockerization:

• Containerize machine learning models using Docker for scalable deployment.

• Integrate models with APIs for seamless interaction with other systems.

• Ensure models are production-ready with robust deployment strategies.

• Application Development:

• Create simple yet effective applications using Streamlit or Django to showcase and interact with models.

• Work with cross-functional teams to deploy AI solutions that meet business needs.

• Machine Learning Fundamentals:

• Apply basic machine learning algorithms to solve real-world problems.

• Conduct experiments to validate model performance and refine algorithms.

• Stay up-to-date with the latest trends and advancements in AI and machine learning.

Qualifications:

• Experience: 1-4 years of experience in machine learning engineering or a related field.

• Generative AI & RAG: Hands-on experience with generative AI models and RAG systems.

• Docker & APIs: Proficiency in Docker, API integration, and model deployment.

• Application Development: Basic experience with Streamlit or Django for creating AI-driven applications.

• ML Algorithms: Solid understanding of machine learning algorithms and their applications.

• Programming Languages: Proficiency in Python; experience with other programming languages is a plus.

• Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.

Nice-to-Haves:

• Experience with cloud platforms (AWS, GCP, Azure).

• Familiarity with DevOps practices.

• Contributions to open-source AI projects.

Brainlabs is proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.