AI / Machine Learning Engineer Jobs in Νομός Θεσσαλονίκης | Information Technology / IT

4 open positions from 1 companies

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About AI / Machine Learning Engineer Jobs

An AI / Machine Learning Engineer develops and implements intelligent algorithms and models to enable machines to learn and make decisions autonomously. They work with data scientists and software teams to design scalable AI solutions, automate processes, and improve business insights. This role is in high demand across industries like technology, finance, and manufacturing, offering significant career growth in AI innovation.

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Required Skills

Essential skills needed for AI / Machine Learning Engineer positions

Generative AIEssential

Expertise in designing and implementing AI models that generate new content based on training data.

PythonEssential

Proficiency in Python programming language for software development, automation, and data analysis.

Machine LearningEssential

Ability to develop algorithms and statistical models that enable computers to learn from and make predictions based on data.

JavaEssential

Proficiency in Java programming language for developing cross-platform applications and backend systems.

Prompt EngineeringEssential

The skill of designing and refining input prompts to optimize the output of AI language models.

Large Language ModelsEssential

Expertise in understanding and utilizing large-scale neural network models designed to process and generate human language.

TransformersEssential

Experience and knowledge of Transformer models used in natural language processing and machine learning.

Microservices ArchitectureCommon

Design and implementation of applications as a suite of small, independently deployable services.

Relational DatabasesCommon

Knowledge of structured databases that store data in tables with relationships between them.

Additional Skills & Traits

Nice-to-have skills and soft skills that can help you stand out

NoSQL

Knowledge of NoSQL databases that store and retrieve data differently than traditional relational databases, including MongoDB and Redis.

Fine-tuning

The process of making small adjustments or improvements to optimize performance.

GPU Systems

Expertise in using Graphics Processing Unit systems for accelerating training processes in computing tasks.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Creativity

Ability to generate innovative ideas and think outside the box.

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Initiative

Ability to take proactive actions and independently start tasks without being prompted.

Willingness to Learn

Enthusiasm and openness to acquiring new knowledge and skills.

Innovation

Ability to generate and implement new ideas, approaches, or solutions to improve processes or products.

Continuous Learning

Commitment to constantly acquiring new knowledge and skills to improve oneself.

Educational Background

Recommended education and qualifications for AI / Machine Learning Engineer positions

Computer Science

Study of computational systems, programming, algorithms, and software development.

Engineering

Study of applying scientific principles to design, build, and maintain structures and machines.

Any Field

No specific academic field required; open to all educational backgrounds.

Mathematics

Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.

Data Science

Study of methods to analyze, interpret, and extract knowledge from data using statistical and computational techniques.

Seniority Distribution

Entry50%
Experienced50%

Experience Requirements

Average experience: 1 years
0-2 years100%