We are looking for a bright Machine Learning Engineer to join our growing engineering team in Athens.

Who We Are

Incelligent provides software solutions to help large corporations achieve digital transformation through the usage of Big Data and ML-powered Analytics. Our platform enables industrial deployment of AI models as part of integrated predictive analytics solutions for various domains such as Banking/Financial Institutions (Risk, Marketing), Retail (Recommendation), Telecommunications (Forecasting, KPI modelling), Compliance (Image Processing). We also perform research and development activities that involve state-of-the-art ML techniques (e.g. LSTM, CNN, GAN, ODENet, GNN) for our product roadmap.

What You Will Be Doing

Design and develop new predictive machine learning and artificial intelligence 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

Minimum requirements:

MSc in Artificial Intelligence, Data Science, Statistics or other related fields
Minimum 3 years of experience in data science/ML using at least one of Python, Scala & Java
Strong SQL knowledge is required for data probing/preparation
Verified knowledge of descriptive statistics, correlation analysis and hypotheses testing
Experience in applied traditional/shallow learning techniques for supervised and unsupervised tasks (scikit-learn, other)
Verified model tuning experience including model performance analysis, error KPIs and hyperparameter tuning via cross validation techniques
Experience at least one python deep learning framework for neural networks: TensorFlow, Keras, PyTorch
Industrial or academic experience with at least one deep-learning model family (RNN, CNN, GAN, DRL, DBN, etc.)
Knowledge of code version control via Git

Nice to have:

PhD in Artificial Intelligence, Data Science, Deep learning or related fields.
Experience with ML-Ops framework adaptation (e.g. ML-Flow-Tracking, PyCaret)
Knowledge of data science and data visualization tools (Jupyter, Superset, Zeppelin or other)
Experience with Big Data - infrastructure & query engines (Spark, HDFS, Hive, Impala, Trino) as well as Big ML tools (e.g. SparkML)
Familiarity in deploying ML models as REST APIs (MLFlow Serve, PyCaret, FastAPI)
Familiarity with Docker and application packaging

Other qualifications

Strong oral and written communication skills
Fluent in English
Native/ fluent Greek, oral and written
Eagerness to learn modern technologies
Ability to deliver in time-critical situations in an organized way
Analytical capabilities and attitude to problem solving
Team motivation

Highly competitive salary based on your skills, reviewed upwards on a regular basis, based on your performance.
Participation in state-of-the-art projects and tech challenges
Personal and professional development, amongst industry experts and talented people
Continuous learning, having access to broad resources for professional and personal development
Friendly environment and fun team member

Commitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics. We respect your personal data.

All personal information in your application and CV will remain strictly confidential.

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