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Senior AI/MLOps Engineer

Role overview

Qualifications

  • Expert-level proficiency with cloud technologies (ideally AWS)
  • Extensive experience with containerization and orchestration (preferably Kubernetes)
  • Deep understanding of software development, DevOps, and MLOps best practices
  • Strong understanding of Machine Learning

Responsibilities

  • Mentor and guide mid-level Machine Learning Engineers
  • Conduct comprehensive code reviews and foster a culture of continuous learning
  • Translate business requirements into actionable ML solutions
  • Collaborate closely with Data Science teams to ensure models are optimized and deployed efficiently

Key facts

  • Remote from: Poland
  • Full time
  • Senior (5-10 years)
  • Artificial Intelligence Engineer
  • English

Hard skills

Other skills

  • Governance
  • Communication
  • Collaboration
  • Mentorship

About the company

Ciklum logo

Ciklum

IT Services & IT Consulting

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

Company details

Company typeStartup
IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

Ciklum is looking for a Senior AI/MLOps Engineer to join our team full-time in Poland.

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 AI/MLOps Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Together, we will work on the project focused on designing, deploying, and scaling advanced machine learning infrastructure, building real-time and batch inference systems, and optimizing predictive platforms for efficiency, reliability, and performance.

Responsibilities:

  • Mentor and guide mid-level Machine Learning Engineers, providing technical leadership and shaping best practices across the organisation
  • Conduct comprehensive code reviews, identify areas for improvement, and foster a culture of continuous learning and collaboration
  • Communicate complex machine learning concepts effectively to both technical and non-technical stakeholders
  • Translate business requirements into actionable ML solutions and present innovative proposals to key stakeholders
  • Lead the integration of new technologies and tools into the ML infrastructure to stay ahead of industry trends
  • Architect and oversee the development of complex machine learning pipelines for real-time and batch inference
  • Collaborate closely with Data Science teams to ensure models are optimized and deployed efficiently in production

Requirements:

  • Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes)
  • Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production
  • Extensive experience in designing, deploying, and maintaining scalable models and services in production environments
  • Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization
  • Hands-on experience with Generative AI, LLMs, and/or NLP solutions in production environments
  • Experience with model explainability techniques (e.g., SHAP, Grad-CAM) and understanding of model governance, risk management, and compliance requirements
  • Experience with A/B testing, experimentation frameworks, and evaluating ML models against business KPIs
  • Experience with MLflow for experiment tracking and model management, and Airflow or Dagster for orchestrating end-to-end ML pipelines and workflows
  • Significant experience with Data Engineering, Kafka, and stream processing
  • Proficiency in Python and SQL; or any other programming languages is a strong plus

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
  • Flexibility: Enjoy flexibility – full remote working possibilities
  • Care: We've got you covered with company-paid premium medical package through Luxmed
  • Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs

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 Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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