Senior ML Engineer - Production Deployments & MLOps (AWS)

We As Web; Polska; On-site; PLN 241,000 - 271,000; Full time

Job summary

We As Web is seeking an experienced Machine Learning Engineer to design and develop ML pipelines, deploy models, and maintain production systems. You will build real-time and batch processing solutions, optimize scalability, and develop cloud infrastructure for automated deployments.

Collaborating with Data Science and Data Engineering teams, you will drive model integration and data workflows, applying MLOps practices and CI/CD to deliver robust ML solutions. English communication is required.

Qualifications

• 4+ years of experience in Machine Learning with production deployments.
• Strong Python and SQL proficiency.
• Hands-on cloud experience, preferably AWS.
• Experience with Docker, Kubernetes, and CI/CD.
• Experience with data pipelines and Kafka.
• Fluent English and ability to work independently.

Responsibilities

• Design and develop machine learning pipelines.
• Deploy and maintain models in production environments.
• Build solutions for real-time inference and batch processing.
• Optimize the performance, scalability, and reliability of ML systems.
• Develop cloud infrastructure and automate deployments.
• Collaborate with Data Science and Data Engineering teams to integrate models and data.

Skills

Python

SQL

AWS

Kafka

ML algorithms

Data pipelines

CI/CD

MLOps

English

Tools

Docker

Kubernetes

Job description

We As Web is seeking an experienced Machine Learning Engineer to design and develop ML pipelines, deploy models, and maintain production systems. You will build real-time and batch processing solutions, optimize scalability, and develop cloud infrastructure for automated deployments.

Collaborating with Data Science and Data Engineering teams, you will drive model integration and data workflows, applying MLOps practices and CI/CD to deliver robust ML solutions. English communication is required.