About this role
Summary: Join Ciklum as a Senior AI/ML Engineer to own the full ML lifecycle, from problem framing and model building to deployment and monitoring. You will leverage Python, cloud platforms, and LLMs to solve complex business challenges while mentoring colleagues and collaborating with cross-functional teams.
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning 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 Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities:
- Own the ML lifecycle: take models from problem framing through training, deployment and monitoring
- Frame problems: turn business goals into ML tasks and metrics. Use plain code where a model isn’t needed
- Build models: classical ML, time series and NLP, plus LLM and RAG features where they fit
- Evaluate rigorously: sound validation, the right metrics, and evals that gate every release
- Ship and run models: deploy with Docker and CI/CD on cloud ML platforms, and monitor drift and cost
- Deliver with AI: use AI coding agents throughout, and validate their output strictly
- Collaborate: review code and experiments, mentor others and explain results to stakeholders
Requirements:
- ML experience: 5+ years, with models shipped to production
- Python: pandas, scikit-learn, and PyTorch or TensorFlow
- ML fundamentals: validation, overfitting, feature selection, imbalanced data
- Data: strong SQL; Spark for large datasets
- MLOps: Docker, CI/CD, model serving and monitoring
- Cloud ML: SageMaker, Azure ML or Vertex AI
- LLMs: has shipped LLM or RAG features and written the evals for them
- AI-assisted development: uses an AI coding assistant daily and keeps its context (codebase, data schemas, standards) current
- Communication: fluent English; explains model trade-offs to non-technical people
Desirable:
- Anomaly detection and forecasting
- Recommender systems or ranking
- Fine-tuning (LoRA/PEFT)
- LangGraph or MCP
- MLflow, Airflow or Kubeflow
- Terraform and Kubernetes
- LLM cost control: model routing, caching, token budgets
- AWS Certified Machine Learning Engineer – Associate or Claude Certified Developer (Anthropic)
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.
#LI-RS1