Data & AI Engineer for Scalable ML & GenAI Pipelines

Mozantech; Porto; On-site; EUR 60,000 - 80,000; Full time

Job summary

Mozantech is seeking a Data & AI Engineer to design, develop, and deploy scalable data pipelines and AI solutions. You will collaborate with Data Scientists, AI Engineers, and stakeholders to deliver data-driven products.

The role requires hands-on experience with Python, Spark, SQL, Databricks, and LLMs, plus strong English communication. You will work across cloud environments and modern data platforms in a fast-paced team.

Qualifications

• Strong experience with Python (3+ years).
• Experience with Machine Learning and AI projects.
• Experience with Large Language Models (LLMs) and Generative AI.
• Strong knowledge of SQL.
• Experience with Databricks.
• Strong experience with Apache Spark / PySpark.
• Understanding of data engineering concepts and ETL/ELT processes.
• Experience with Git and software engineering best practices.
• Fluent English (minimum B2 level).

Responsibilities

• Design and develop scalable data pipelines using Python, Spark, and SQL.
• Build and maintain AI/ML models for production environments.
• Develop and optimize Generative AI and LLM-based solutions.
• Implement RAG architectures, vector databases, and prompt engineering best practices.
• Work with Databricks to build and manage modern data platforms.
• Process and transform large-scale datasets using Spark.
• Deploy AI and ML workloads in cloud environments.
• Collaborate with multidisciplinary teams to deliver innovative data-driven products.
• Monitor, maintain, and improve performance of AI applications.

Skills

Python

Machine Learning

Generative AI

Large Language Models (LLMs)

SQL

English

Tools

Databricks

Apache Spark / PySpark

Git

Docker

Kubernetes

Cloud Certifications (Azure/AWS/GCP)

Job description

Mozantech is seeking a Data & AI Engineer to design, develop, and deploy scalable data pipelines and AI solutions. You will collaborate with Data Scientists, AI Engineers, and stakeholders to deliver data-driven products.

The role requires hands-on experience with Python, Spark, SQL, Databricks, and LLMs, plus strong English communication. You will work across cloud environments and modern data platforms in a fast-paced team.