Senior ML Engineer: End-to-End ML Pipelines & DL Models

Reply; Katowice; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Motivizer Benefits Platform

Language Courses

Training opportunities (internal and外)

Networking events

Job summary

OBI Smart Techologies is seeking a Machine Learning Engineer focused on classical ML and deep-learning models to design, implement, and operate productive ML solutions. You’ll work closely with an internal colleague handling stakeholder management and coordination to allow you to focus on modeling, pipelines, and technical execution.

You will design, train and optimize ML models, build end-to-end pipelines, and ensure robustness and reproducibility in production environments.

Qualifications

• University degree in CS, DS, Math or related field.
• Production-grade ML pipelines experience.
• Strong Python engineering and clean code practices.
• Git-based version control and CI/CD experience.
• Experience with cloud ML platforms (Databricks, AWS, Azure, GCP).
• Fluent English and Polish; hybrid work from Katowice.

Responsibilities

• Design, train and optimize classical ML and deep-learning models for business use cases.
• Build and maintain end-to-end ML pipelines covering data prep, feature engineering, training, validation, deployment and monitoring.
• Ensure robustness, performance and reproducibility of ML solutions in production.
• Implement structured and versioned ML workflows for reliable development and operation.
• Collaborate with internal ML engineers and data teams on technical topics and solution design.

Skills

Python engineering

CI/CD pipelines

Git version control

Data pipelines

English & Polish

Production ML experience

Hybrid work

Education

Bachelor's or higher in CS/DS/Math

Tools

Databricks

AWS

Azure

GCP

Job description

OBI Smart Techologies is seeking a Machine Learning Engineer focused on classical ML and deep-learning models to design, implement, and operate productive ML solutions. You’ll work closely with an internal colleague handling stakeholder management and coordination to allow you to focus on modeling, pipelines, and technical execution.

You will design, train and optimize ML models, build end-to-end pipelines, and ensure robustness and reproducibility in production environments.