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3stepIT

AI Engineer

3stepIT

AI Engineer designing, developing, and deploying AI solutions at 3stepIT. Collaborating with teams and creating scalable AI infrastructure in a hybrid role.

Posted 7/24/2026full-timeHelsinki • 🇫🇮 FinlandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and deploying AI solutions on cloud platforms, with a strong foundation in programming languages such as Python and Java. Proficient in developing machine learning models and understanding ethical considerations in AI systems.

Highest-signal resume keywords
AI Solution DesignMachine Learning Model DevelopmentCloud-Based AI PlatformsNatural Language Processing (NLP)Programming in Python and Java

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Algorithm DevelopmentData ScienceStatisticsCalculusAlgebraRPAEmbedded Code ImplementationGenerative AI FrameworksLarge Language Models (LLMs)API Integration
Soft Skills
CollaborationMentoring
Tools & Technologies
AzureAWS
Industry Keywords
AI InfrastructureEthical AICross-Functional Team Collaboration

Tech Stack

Tools & technologies
AWSAzureCloudJavaPythonRPA

About the role

Key responsibilities & impact
  • The AI Engineer will be responsible for designing, developing, and deploying AI solutions on cloud platforms.
  • Collaborating with cross-functional teams to integrate AI capabilities into existing systems.
  • Creating scalable, efficient, and secure AI infrastructure.
  • Developing, programming, and training complex AI algorithms.
  • Uncovering and pulling data from a variety of sources; creating, developing and testing machine learning models.
  • Building and implementing AI applications using embedded code or application program interface (API) calls.
  • Mentoring/helping team members in the field of AI.

Requirements

What you’ll need
  • Bachelor's degree in a field related to AI, such as data science, computer science, IT or statistics.
  • At least 3 years in field of IT automation, RPA, AI, or relevant areas.
  • Extensive knowledge of statistics, calculus or algebra to work with algorithms.
  • Proficiency with programming languages such as Python and Java.
  • Good knowledge of NLP, which combines computer science, information engineering, linguistics and AI.
  • Familiarity with generative AI frameworks and architectures, such as transformers and generative adversarial networks (GANs).
  • Experience with LLMs and their applications.
  • Understanding of potential biases and ethical considerations in AI systems.
  • Proficiency in working with cloud-based AI platforms and services (Azure and AWS).

Benefits

Comp & perks
  • Recognition & Rewards – Bonus programs and excellence awards.
  • Continuous Learning – Development programs, coaching, and workshops.
  • Wellbeing Focus – Flexible culture, health initiatives, and work-life balance.
  • Purpose-Driven Work – Opportunities to contribute to sustainability and community projects.
  • Fun & Connection – Team challenges, sports activities, and annual events.