Company Description

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Job Description

Ever wondered what it feels like to be an AI Engineer in Netcompany?

Joining us as an AI Engineer you will leverage your technical expertise, experience, and communication skills to work across various business & technology teams productionize innovative AI models and applications.

As an AI Engineer you will:

Develop and deploy machine learning models and GenAI solutions across a variety of business domains.
Work on both traditional ML projects and advanced GenAI initiatives.
Collaborate with project managers, data scientists, and cloud engineers to deliver robust and scalable AI systems.
Participate in fine-tuning, evaluating, and monitoring AI/ML models, ensuring optimal performance.
Contribute to prompt engineering efforts and AI model optimization strategies.
Stay updated with the latest developments in Machine Learning, MLOps, and GenAI tools and frameworks.

Qualifications

What would make you a fit for the role:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics or a related field.
3+ years of experience in AI/ML engineering roles.
Hands-on experience in Machine Learning model development and deployment.
Good exposure to GenAI technologies.
Familiarity with RAG systems and vector databases is a plus.
Solid skills in Python and experience with cloud platforms (AWS, Azure).
Understanding of MLOps principles and model lifecycle management.
Team player attitude, eagerness to learn, and strong problem-solving skills.

Additional Information

Being a part of the Netcompany team, you will be provided with:

The opportunity to work in a modern environment & in a hybrid working model
A seamless onboarding experience and a buddy to support you on your first steps
A competitive compensation & benefits package
Health and life insurance program
Meal and commuting allowance
Well-being activities (on premises)
Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

Our branch in Thessaloniki employs 300+ talented professionals, working on a variety of EU mission-critical projects!

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

Career Guide for AI Engineer at Netcompany

Job Overview

As an AI Engineer at Netcompany, your main role will be to develop and implement AI and machine learning models that enhance various business processes. You’ll engage with different teams, applying your technical skills to create innovative AI solutions that have a significant impact on clients and the public. This position offers a unique opportunity to be at the forefront of technological advancements in a collaborative and supportive environment.

Key Responsibilities

Develop and deploy machine learning models and Generative AI solutions.
Collaborate with project managers, data scientists, and cloud engineers on AI systems.
Fine-tune, evaluate, and monitor machine learning models for optimum performance.
Participate in prompt engineering and AI model optimization.
Keep abreast of the latest developments in machine learning and related technologies.

Required Skills and Knowledge

Technical Skills

Proficiency in machine learning model development and deployment.
Strong programming skills in Python.
Familiarity with Generative AI technologies.
Understanding of MLOps principles and model lifecycle management.

Soft Skills

Team player with strong communication skills.
Eagerness to learn and adapt to new challenges.
Problem-solving mindset.

Tools and Technologies

Experience with cloud platforms like AWS or Azure.
Understanding of RAG systems and vector databases (preferred).

Certifications or Training

A relevant Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Additional training in AI/ML frameworks or MLOps could improve your hiring prospects.

Interview Preparation

Common Interview Questions

Can you explain a machine learning project you worked on?
- Discuss your role, the technologies used, and the outcome.
What is overfitting, and how can you prevent it?
- Define overfitting and mention techniques such as cross-validation or regularization.
How do you evaluate the performance of a machine learning model?
- Discuss metrics like accuracy, precision, recall, and F1 score.
Can you explain what Generative AI is?
- Provide a brief overview, including its applications.
Describe your experience with cloud platforms.
- Talk about specific projects and tools you’ve used.
How do you stay updated with advancements in AI?
- Mention specific journals, forums, or courses you follow.
What are some challenges you’ve faced in model deployment?
- Share real experiences and how you overcame them.
How would you approach optimizing an existing model?
- Discuss strategies such as hyperparameter tuning or feature selection.
Can you give an example of collaborative work on an AI project?
- Highlight your role and contribution to the team’s success.
Where do you see the future of AI heading?
- Share your thoughts on emerging trends and potential impacts.

Important Topics to Review

Machine Learning algorithms: Supervised vs. unsupervised learning, Ensemble methods.
MLOps principles and practices.
Generative AI technologies and their applications.
Cloud services for AI modeling.

How to Increase Your Hiring Chances

CV Improvement

Tailor your CV to highlight relevant experience and skills specific to AI and machine learning.
Use action words and quantify achievements (e.g., “improved model accuracy by 20%”).

LinkedIn Profile Optimization

Ensure your profile is complete with a professional photo and detailed work experience.
Highlight skills and projects related to AI and machine learning.
Engage with AI-related content to demonstrate your active interest.

Portfolio or Project Ideas

Develop side projects or contributions to open-source AI projects to showcase your skills.
Create case studies based on your past work that illustrate your problem-solving approach.

Learning Recommendations

Enroll in AI and machine learning courses on platforms like Coursera or Udemy.
Participate in hackathons or tech meetups to gain practical experience and network with peers.

Career Growth

As an AI Engineer at Netcompany, you have various paths for career progression:

Senior AI Engineer: Take on more complex projects and lead teams.
AI Architect: Focus on designing architectural frameworks for AI solutions.
Data Science Manager: Oversee a team of data scientists and AI engineers.
Chief Technology Officer (CTO): Aim for executive-level positions, where you guide the technological vision of the organization.

Overall, continuous learning and networking will be key to advancing your career in this fast-evolving field.

How to Apply

Apply for this position through the original job source:

Apply Here