Senior AI/ML Engineer — Remote, Growth & Impact

Ciklum; Polska; Remote; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Luxmed premium medical package

Remote work flexibility

Udemy access

Language courses

Company-paid certifications

MyBenefit platform

Internal mobility opportunities

Job summary

Ciklum in Poland is seeking a Senior Artificial Intelligence/Machine Learning Engineer to join a cross-functional team. You will own the ML lifecycle, from problem framing to deployment and monitoring, shipping models with CI/CD and cloud platforms.

You will work on classical ML, time series, NLP, and LLM/RAG features, validate rigorously, and mentor peers. Fluent English and strong communication are essential; remote work options available.

Qualifications

• ML lifecycle ownership from framing through deployment and monitoring.
• Experience shipping models to production (≥5 years).
• Strong Python and ML stack experience (pandas, scikit-learn, PyTorch or TensorFlow).
• Proficient SQL and Spark for large datasets; MLOps with Docker and CI/CD.
• Cloud ML platforms (SageMaker, Azure ML, Vertex AI) and LLM/RAG features.

Responsibilities

• Own the ML lifecycle: framing problems, training, deployment and monitoring.
• Frame problems into ML tasks with solid business metrics and evals.
• Build models: classical ML, time series, NLP, plus LLM/RAG features.
• Evaluate rigorously with proper validation and metrics gating releases.
• Deploy and monitor: Docker, CI/CD, cloud platforms; track drift and cost.
• Collaborate: review code, mentor teammates, explain results to stakeholders.

Skills

Python

ML/DL

SQL

Spark

MLOps

Docker

CI/CD

PyTorch

TensorFlow

Cloud ML

LLMs

AI coding

English

Tools

SageMaker

Azure ML

Vertex AI

Kubeflow

MLflow

Airflow

Job description

Ciklum in Poland is seeking a Senior Artificial Intelligence/Machine Learning Engineer to join a cross-functional team. You will own the ML lifecycle, from problem framing to deployment and monitoring, shipping models with CI/CD and cloud platforms.

You will work on classical ML, time series, NLP, and LLM/RAG features, validate rigorously, and mentor peers. Fluent English and strong communication are essential; remote work options available.