Production ML Engineer — Hybrid Warsaw: MLOps & ETL

Enfint; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Enfint in Warsaw is seeking an experienced data/ML engineer to turn messy data into production machine learning systems. The role focuses on building robust ETL pipelines, deploying scalable ML workloads, and designing RESTful APIs.

You will work with Docker and Kubernetes in the cloud (GCP/Azure), implement ML-Ops pipelines, and contribute to open-source tooling; fluent English required.

Qualifications

• 4+ Years of experience turning messy data into production ML systems.
• Proficiency in Python, Docker, Kubernetes, GCP/Azure, Airflow/Kubeflow, ETL, REST APIs, and ML/DL fundamentals.
• Fluent in English (B2).
• Nice to have: TensorFlow/PyTorch/Keras, Spark/Kafka/Flink, big data & NoSQL, IoT/Edge, open-source contributions.

Responsibilities

• Build production-grade ETL pipelines (Airflow / Kubeflow); Architect and automating ML-Ops pipelines in the cloud (GCP / Azure); Deploy, monitor and scale ML workloads with Docker & Kubernetes; Design RESTful APIs and reusable ML tooling; Speak at internal workshops, meetups and conferences.

Skills

Python

Docker

Kubernetes

GCP

Azure

Airflow

Kubeflow

ETL

REST APIs

ML Fundamentals

DL Fundamentals

English B2

TensorFlow

PyTorch

Keras

Spark

Kafka

Flink

Big Data

NoSQL

IoT/Edge

Open Source

Job description

Enfint in Warsaw is seeking an experienced data/ML engineer to turn messy data into production machine learning systems. The role focuses on building robust ETL pipelines, deploying scalable ML workloads, and designing RESTful APIs.

You will work with Docker and Kubernetes in the cloud (GCP/Azure), implement ML-Ops pipelines, and contribute to open-source tooling; fluent English required.