Junior AI Engineer (m/w/d)

KI•PIE Group; Köln; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A leading AI solutions company in Köln is looking for a Junior AI Engineer to design and implement AI solutions. Your role will involve the entire AI lifecycle, including data ingestion and deploying machine learning models. Ideal candidates will have over a year of AI engineering experience, strong Python skills, and familiarity with cloud technologies like Azure. The company offers exciting projects and a culture that promotes innovation and career growth.

Leistungen

Top-tier training and certifications

Innovative company culture

Exciting AI projects

Qualifikationen

• 1+ years of experience in AI engineering or machine learning.
• Strong Python skills and familiarity with Azure ML and Databricks.
• Understanding of data privacy regulations like GDPR.

Aufgaben

• Build and optimize AI models from data ingestion to deployment.
• Apply machine learning concepts to solve business challenges.
• Implement scalable AI solutions using MLOps best practices.

Kenntnisse

AI engineering

Machine Learning

Data Engineering

Python

Cloud technologies

MLOps tooling

NLP

Communication skills

Ausbildung

Bachelor’s or master’s degree in computer science or related field

Tools

Azure ML

Databricks

Docker

Jobbeschreibung

Overview

Your Role as an AI Engineer

As a Junior AI Engineer, you play a key role in designing and implementing state-of-the-art AI solutions. You are responsible for the entire AI lifecycle - from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate into tangible business value.

With a strong focus on innovation, scalability, and operational excellence, you stay up to date with the latest AI advancements (e.g., Multiagent-Architectures) and cloud technologies on Microsoft Azure.

Responsibilities

• End-to-End AI Development - Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations.
• Machine Learning & Advanced Analytics - Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP.
• Generative AI - Build, integrate and optimize Large Language Models (LLM), including Text-to-Speech (TTS), Speech-to-Text (STT).
• Data Engineering & Pipelines - Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases.
• AI Deployment & Operations - Implement scalable and production-ready AI solutions using cloud-based MLOps best practices.
• AI Innovation - Stay up-to-date with the latest advancements in AI and cloud technologies, and evaluate their potential for integration.
• Customer Enablement & Integration - Collaborate with cross-functional teams to customize AI tools and embed them into business processes for maximized value.
• Compliance & Governance - Ensure compliance with data privacy, security, and ethical AI guidelines in all solutions.

What You Bring to the Table

• 1+ years of experience - AI engineering, data science, or machine learning, ideally with data engineering expertise.
• End-to-end AI expertise - Expertise in data preparation, feature engineering, model training, deployment, and continuous optimization.
• Strong Python skills - Proficient in ML frameworks and cloud-based AI platforms like Azure ML and Databricks.
• Cloud & AI ecosystem knowledge - Familiar with Microsoft Azure Data & AI services and leading AI platforms/APIs such as OpenAI, Gemini, and Anthropic.
• MLOps & production deployment - Hands-on experience with MLOps tooling (Azure DevOps, GitHub, GitLab) and deploying AI solutions in production.
• AI infrastructure expertise - Skilled in designing and deploying AI infrastructure, including containerization with Docker.
• Broad AI/ML understanding - Strong foundation in NLP, computer vision, and conversational AI (e.g., Azure Bot Services, Microsoft Copilot).
• Experience with AI models - Familiar with LLMs, TTS, and STT technologies.
• Awareness of AI regulations - Understanding of data privacy regulations (e.g., GDPR) and their implications for AI projects.
• Customer interaction & leadership - Comfortable engaging with stakeholders and leading workshops.
• Innovative & team-oriented mindset - Passion for AI, proactive attitude, and collaborative work style.
• Excellent communication skills - Fluent in English (C2) and German (C1).

Education

• Bachelor’s or master’s degree in computer science, artificial intelligence, or a related field.

Why Join Us?

• Exciting AI projects - with cutting-edge technologies - work with Azure, Databricks, OpenAI, and more.
• High-performance culture - we’re looking for “Doers” who want to make an impact.
• Fast learning & career growth - benefit from top-tier training and certifications.
• Innovative company culture - we embrace hands-on mentality, team spirit, and AI-driven excellence.
• Broad ecosystem - as part of our DNA, we cultivate an exceptional network and work closely with partners and startups.