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.
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Team - Data Science Reports to - Hitesh Nayak Experience Range - 5-8 years
• Build and optimize AI-driven products that meet business objectives and user needs. • Collaborate with cross-functional teams to design, develop, and ship machine learning models to production. Model Deployment & MLOps: • Deploy machine learning models to production using Docker and Kubernetes. • Manage and scale models in production environments, ensuring high performance and reliability. • Implement MLOps best practices to streamline the development and deployment process on Google Cloud. Cloud & Infrastructure: • Utilize Google Cloud services for model training, deployment, and scaling. • Set up and manage cloud-based data pipelines and model inference systems. • Ensure infrastructure scalability, security, and efficiency for machine learning workflows. Machine Learning & AI Systems: • Apply machine learning algorithms to address business challenges and improve AI product performance. • Conduct experiments, A/B testing, and model evaluations to ensure continuous model improvement. • Stay up-to-date with the latest advancements in AI, cloud, and MLOps technologies. |
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We are looking for an experienced Machine Learning Engineer to join our team, with 4-6 years of hands-on experience in building and deploying AI-based products. This role demands expertise in shipping code to production using Docker and Kubernetes, along with strong experience in MLOps, particularly on Google Cloud. If you’re passionate about applying cutting-edge machine learning techniques to solve real-world problems and enjoy working in a fast-paced, innovative environment, we’d love to hear from you! Nice-to-Haves: • Experience with cloud platforms beyond Google Cloud (AWS, Azure). • Familiarity with CI/CD pipelines for machine learning. • Experience contributing to open-source AI or MLOps 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.
