About us

Since our inception in 2015, Zenitech has grown to become a powerhouse of high-caliber technology and advisory professionals. We are a creative and skilled organization with Technology at the heart of everything we do. As a strategic partner to our clients, we design, transform, and develop innovative solutions that have a real impact on their businesses. We’re an agile, dynamic, creative community of individuals who actively embrace out-of-the-box thinking and diverse perspectives.

We partner with our clients to build digital visions of the future. Our diverse client portfolio ranges through world-renowned brands in industries including entertainment and gaming, defense, automotive, healthcare and sports, sports gaming, and more. We invest in creating products and intellectual property within Zenitech, which underpins many of the technical relationships we hold with our clients.

About the role

We are looking for a talented Machine Learning Engineer with a strong background in MLOps to join our dynamic Data Science team. If you have a passion for turning complex models into scalable and reliable applications and thrive in fast-paced, innovative environments, we would like to meet you.

As a Machine Learning Engineer, you will play a crucial role in our team, focusing on the end-to-end lifecycle of machine and deep learning models. From concept to deployment, you will ensure our ML/DL models are production-ready, scalable, and maintainable. This position requires a blend of machine learning knowledge, software engineering skills, and an understanding of cloud infrastructures.

What you will do

  • Develop, and deploy scalable machine learning and deep learning models through web endpoints or streaming solutions
  • Implement MLOps practices to automate the deployment, monitoring, management, and governance of ML models
  • Collaborate with cross-functional teams to integrate ML models into the company’s products and services
  • Monitor and optimize the performance of the models in production environments
  • Stay abreast of the latest developments in machine learning, MLOps, and cloud technologies

Skills and qualities we appreciate 

  • Proven experience in Machine Learning or software engineering operations, with a focus on productionizing ML/DL models
  • Solid understanding of cloud-based infrastructure and services (AWS, Google Cloud, Azure) including knowledge of virtual machines, containers, distributed computing, and available ML tools
  • Proficiency in Python. Familiarity with additional programming or scripting languages or front-end frameworks is a plus
  • Experience with CI/CD pipelines, version control systems for data and code, data monitoring, and experiment tracking methodologies
  • Familiarity with MLOps tools and frameworks such as Kubernetes, Docker, Airflow, MLflow, Kubeflow, or related tools
  • Knowledge of various data storage and processing technologies to build simple data pipelines

What we offer

🏡 Hybrid working model

🎧 Technical equipment you can choose

⭐️ A culture of continuous growth

🧘‍♂️ A community-first mindset, health-related initiatives, community events, and team–building

🤝 Agile mindset, flat organizational structure

👋 Work with talented people across technology products and consulting

🌱 Simplified processes, an open mindset, and a great atmosphere where commitment and autonomy are nurtured and celebrated

Diversity and Inclusion

Zenitech is proud to have a widely diverse team. We naturally create an inclusive environment where everyone feels comfortable to be themselves and each person is valued for their skills, experiences, and unique perspectives. Our commitment to diversity, equity, inclusion, and belonging can be found here. If you require any reasonable adjustments to our application process, please let us know and we’ll do our best to design an interview format that works for you.

We never hire just to fill a role, we prefer our team to reflect the world around us and that starts with you hitting apply, even if you might not tick all of the ‘must have’ boxes!

Why work with us?

Everything we do is about growth – helping our brilliant people do their best work, learn, develop, and grow their skills and careers. We are a growing company with great opportunities and the work we do makes a real difference in the digital landscape. We are all about our community. That means creating the right environment for you to thrive, be part of a team, and do amazing work that you and our clients love.

We pride ourselves on our core values of Community First, Consistent Growth, Effective Partnership, and Simplified Processes. You can see them in action in all aspects of our everyday work. We foster an open, trusting, and collaborative working environment where everyone has the opportunity to succeed and shine, and where excellence is rewarded.