AI/ML Engineer: MLOps & GenAI (Remote)

Lingaro Group; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Office as an option – remote or in‑the

Workation

Great Place to Work certified employer

Udemy learning platform access

Extensive training programs

Internal promotions

Job summary

Lingaro Group is seeking a skilled ML Engineer/Data Engineer to collaborate with Data Science teams and implement production-ready ML models. You will design and manage scalable data processing pipelines, and define best practices for ML life cycle and MLOps within a cloud environment.

The role emphasizes data engineering, Spark, Databricks, and GenAI awareness, with flexible options for remote or in-office work in Poland. Fluency in English is required.

Qualifications

• Data engineering and processing experience.
• Production-ready ML code development.
• MLOps/LLMOps tools like AzureML/AzureAI experience.
• Databricks experience.
• Cloud concepts (Azure/GCP) and services.
• Big Data platforms with Spark/Hive experience.
• GenAI familiarity a plus.

Responsibilities

• Work with Data Science teams to productionize ML models.
• Design, deliver, and manage data processing pipelines.
• Implement ML lifecycle and MLOps practices.
• Support GenAI/LLMOps initiatives and tooling.
• Create and share technical documentation.

Skills

Data engineering

Spark/PySpark

Databricks

Python

MLOps

Azure

GCP

CI/CD

DevOps

GenAI

English fluency

Tools

AzureML

AzureAI

GitHub Actions

Docker

Kubernetes

Job description

Lingaro Group is seeking a skilled ML Engineer/Data Engineer to collaborate with Data Science teams and implement production-ready ML models. You will design and manage scalable data processing pipelines, and define best practices for ML life cycle and MLOps within a cloud environment.

The role emphasizes data engineering, Spark, Databricks, and GenAI awareness, with flexible options for remote or in-office work in Poland. Fluency in English is required.