Senior Artificial Intelligence/Machine Learning Engineer at Ciklum

, , Czechia -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Engineering, Model Deployment, CI/CD, Python, TensorFlow, PyTorch, Scikit-learn, GCP, AWS, Azure, VertexAI, Kubeflow, Sagemaker, Apache Beam, Dataflow

Industry

IT Services and IT Consulting

Description

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in the Czech Republic. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. As part of the MLOps team, you’ll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life—ensuring they’re deployed, maintained, and monitored efficiently in production. You’ll have the opportunity to improve model performance and infrastructure, all while contributing to Trustpilot’s AI-driven solutions. Responsibilities: Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring high performance and scalability. * Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows * CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models * Model Monitoring: Help monitor the performance of machine learning models post-deployment, ensuring reliability, scalability, and quality over time * Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering * Optimise: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery Requirements: We’re looking for someone who has a solid technical foundation in both machine learning and software engineering. If you don’t know everything, that’s fine—what matters most is your ability to learn quickly and work collaboratively. * Experience deploying machine learning models in production environments in cloud platforms like GCP, AWS or Azure * Experience with CI/CD pipelines for machine learning (e.g., Github action, Docker) * Experience with ML platforms/frameworks (eg. VertexAI(Enterprise Agent Platform), Kubeflow, Sagemaker) * Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable * Knowledge of monitoring and maintaining models in production * Experience with performance/cost optimization is highly desirable (eg. Latency, throughput) * Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Problem-solving skills with the ability to troubleshoot model and pipeline issues * Strong communication skills, enabling effective collaboration across teams What’s in it for you? * Strong community: Work alongside top professionals in a friendly, open-door environment * Growth focus: Take on large-scale projects with a global impact and expand your expertise * Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications * Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies * Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations * Flexibility: Balance office and remote work to fit your rhythm * Our Offices in the Czech Republic: We have three offices in Prague, Hradec Králové, and Zlín. There are no fixed office days—it all depends on your team’s agreement. Here, you’ll find a relaxed and friendly atmosphere that fosters collaboration and innovation About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. With delivery centers in Prague, Hradec Králové, and Zlín, our Czech team delivers end-to-end solutions across industries. Here, innovation thrives through collaboration, and every idea drives our partners' success. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-IK1

Responsibilities

Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Develop data and model pipelines while implementing CI/CD workflows to ensure scalability and performance.