Senior Artificial Intelligence/Machine Learning Engineer

Description Ciklum; Polska; Remote; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Premium medical package

Flexible remote work

Udemy access

Language courses

MyBenefit cafeteria platform

Job summary

Ciklum is seeking a Senior Artificial Intelligence/Machine Learning Engineer to join our Poland-based team full-time. You will work in a cross-functional environment, turning business goals into ML tasks and shipping models with Docker and CI/CD on cloud platforms.

You will own the ML lifecycle, frame problems, build models (including NLP, time series and LLM/RAG features), validate rigorously, monitor drift and cost, and explain results to stakeholders.

Qualifications

• 5+ years of ML experience with models shipped to production.
• Strong Python (pandas, scikit-learn) and deep learning frameworks (PyTorch or TensorFlow).
• Strong SQL and Spark experience for large datasets.
• MLOps with Docker, CI/CD, model serving and monitoring.

Responsibilities

• Own the ML lifecycle from problem framing through training, deployment and monitoring.
• Frame business goals into ML tasks and metrics.

Skills

ML lifecycle

Python

SQL

Spark

MLOps

Cloud ML

LLMs

AI-assisted development

Communication

Tools

Docker

CI/CD

Kubernetes

Job description

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!