Artificial Intelligence Architect

We are currently seeking a skilled Machine Learning Engineer to join our team in Athens.

This is an exciting opportunity for a talented professional to contribute to the development of innovative machine learning solutions.

• Design and develop new predictive machine learning algorithms for multiple industrial domains.
• Integrate ML models into the production pipeline of our solutions.
• Analyze datasets to identify patterns and extract insights.
• Visualize and present dataset findings and features.

We are looking for candidates with:

• A strong background in artificial intelligence, data science, or statistics.
• At least 3 years of experience in data science/ML using Python, Scala, or Java.
• Excellent SQL skills for data preparation.
• Knowledge of descriptive statistics, correlation analysis, and hypotheses testing.
• Experience with traditional/shallow learning techniques for supervised and unsupervised tasks.
• Verified model tuning experience, including performance analysis, error KPIs, and hyperparameter tuning via cross-validation techniques.
• Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.
• Familiarity with at least one deep-learning model family (RNN, CNN, GAN, etc.).

Candidates with additional qualifications may include:

• PhD in artificial intelligence, data science, or deep learning.
• Experience with ML-Ops framework adaptation (e.g. ML-Flow-Tracking, PyCaret).
• Knowledge of data science and visualization tools (Jupyter, Superset, Zeppelin).
• Experience with Big Data infrastructure & query engines (Spark, HDFS, Hive, Impala, Trino) and Big ML tools (e.g. SparkML).
• Familiarity with deploying ML models as REST APIs (MLFlow Serve, PyCaret, FastAPI).

As a member of our team, you will enjoy:

• A highly competitive salary based on your skills and performance.
• Participation in state-of-the-art projects and tech challenges.
• Personal and professional development among industry experts.
• Continuous learning opportunities with access to broad resources.

We are committed to equal employment opportunity and respect personal data privacy.