Senior ML Engineer
Join our team!
Who we Are
At Grant Thornton Greece, we’re not just part of a global network of 73,000 professionals across 150 countries. We’re independent thinkers who prioritize quality, inclusion, and integrity to create a better, more personal experience for our clients and our team. Our mission? To deliver expertise in a way that goes beyond — Personal, Proactive, and Agile.
We don’t predict the future here—we shape it. 🚀
Milestones WE are Proud of
🏆 Great Place to Work certified for three years running!
👩💼 Best Workplaces for Women 2024, for two consecutive years
🌈 Proud members of the Diversity Charter Greece and certified with the SHARE Equality Label
🏠 Flexible way of Working (Hybrid)
🧠Coaching & Counseling from Senior Professionals
The role in detail
We are seeking for an experienced Machine Learning (ML) Engineer to design and implement machine learning models that drive business outcomes. Joining the team, you will play a pivotal role in managing the lifecycle of ML projects and ensuring the deployment of scalable and efficient solutions.
The key responsibilities of this role will include:
- Design, develop, and maintain robust machine learning models for production environments
- Design and build data pipelines to support machine learning workflows
- Evaluate and improve the accuracy of models through iterative testing
- Collaborate with product and engineering teams to integrate ML solutions
- Research and implement new machine learning methods and tools
- Ensure compliance with best practices in data privacy, security, and ethical AI deployment
To be successful at this role you need the following (hard and soft skills):
- Bachelor’s or Master’s degree in Computer Science, or related field
- 5+ years of experience in machine learning engineering
- Familiarity with containerization technologies (Docker, Kubernetes) and CI/CD pipelines
- Expertise in data preprocessing, feature engineering, and model evaluation
- Proficient in ML tools and frameworks (e.g., scikit-learn, MLflow)
- Knowledge of Natural Language Processing (NLP) and Time Series Analysis
- Strong analytical and problem-solving skills
- Effective communication and rapport building skills
- Ability to develop and deliver high quality services and solutions
- An extremely high work ethic
- Motivation for career progression and development
- Military Obligations completed
Desired Certifications:
- Microsoft Certified: Azure Data Scientist Associate
- Microsoft Certified: Azure Data Engineer Associate
- Professional Data Engineer (Google Cloud)
What’s in it for You?
At Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:
- 🌈 Diverse and inclusive workplace
- 🏋️♂️ Friendly, Dynamic Working environment
- 💰 Competitive Salary & Bonus
- 🩺 Insurance Program for all GT members
- 👩🏫 Fully funded Training & Professional Qualifications
- 🏖 Extra Days-off: August Freedays, Volunteering Days, Early leave days
- 🏃🏽♂️ Corporate Sports Teams (e.g., Running, Basketball, Volleyball)
- 🎁 Exclusive Discounts: Special offers and discounts for employees
- 🚗 Company Car (depending on job level)
Ready to Go Beyond?
If you're imagining a career that’s anything but ordinary, then Grant Thornton Greece is the place for you! We don’t just do business as usual—we go beyond. Ready to take that leap?
Simply upload your up-to-date CV, hit "apply", and we’ll handle the rest! ✨
We are Grant Thornton. We go beyond business as usual, so you can too.
#WelcomeToMore #GoBeyondWithUs
- Department
- Technology
- Locations
- Athens
- Remote status
- Hybrid Remote
- Contract type
- Full-time
- Seniority
- Medior, Senior
Athens
About Grant Thornton
The Grant Thornton culture is one of our most valuable assets and has steered us in the right direction for more than 100 years.
Today's world demands a culture that embraces change. We welcome fresh thinking and encourage people throughout the network to bring something new.
We focus on creating physical and virtual environments that promote health and wellbeing; psychologically safe places where people can be themselves, able to speak out, challenge, contribute fully and expect to be treated with respect and fairness.
Our open-minded culture leaves space for a diverse range of opinions that can challenge conventional thinking.
Senior ML Engineer
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