Senior Artificial Intelligence/Machine Learning Engineer

Posted 14 Hours Ago
Be an Early Applicant
Hiring Remotely in Slovakia
Remote
3K-3K Annually
Senior level
Information Technology • Consulting
The Role
Lead MLOps work to deploy, maintain, and monitor ML models in production. Build and optimize data and model pipelines, implement CI/CD for models, improve infrastructure for performance and cost, and collaborate with data scientists and engineers to deliver scalable, reliable AI solutions.
Summary Generated by Built In

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Slovakia.

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 culture that values initiative and empowers its people to succeed
  • Fast-paced & agile environment: Be part of a dynamic, fast-moving organization that champions efficiency and innovation
  • Global exposure: Collaborate with international, cross-functional teams and contribute to large-scale initiatives
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Flexibility: Balance office and remote work to fit your rhythm
  • Care: Take advantage of our extensive benefits offering, aligned with the best market standards

The salary starts from 3300 Eur gross. The final salary depends on the previous experience and professional knowledge of the candidate.

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.
Our Slovakia hub brings together passionate professionals working on global initiatives. Be part of a close-knit team that’s driving digital transformation and creating lasting impact.

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-KS1

Skills Required

  • Experience deploying machine learning models in production environments on cloud platforms (GCP, AWS, Azure)
  • Experience with CI/CD pipelines for machine learning (e.g., GitHub Actions, Docker)
  • Experience with ML platforms/frameworks (Vertex AI, Kubeflow, SageMaker)
  • Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow
  • Knowledge of monitoring and maintaining models in production
  • Experience with performance and cost optimization for ML systems (latency, throughput)
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
  • Problem-solving skills to troubleshoot models and pipeline issues
  • Strong communication skills for cross-functional collaboration
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The Company
HQ: London
2,995 Employees
Year Founded: 2002

What We Do

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others. For more information about us visit www.ciklum.com

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