Job Opening
Data Scientist/ AI Developer
We offer excellent opportunities for professional and personal growth. Incelligent is a successful company through investing in the right people, like you!
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Data Scientist/ AI Developer
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Full Time
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On Site
About the job
We are looking for a competent candidate to help with the organization and running of the daily accounting operations of the company. The ideal candidate will be a hard-working professional able to undertake a variety of tasks and work diligently under pressure. This person will be comfortable working with a high degree of attention to detail and discretion as well as incorporating new and effective ways to achieve better results.
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
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
BENEFITS
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Highly competitive salary based on your skills, reviewed upwards on a regular basis, based on your performance.
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Participation in state-of-the-art projects and tech challenges.
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Personal and professional development, amongst industry experts and talented people.
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Continuous learning, having access to broad resources for professional and personal development.
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Friendly environment and fun team members.
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Modern workspace, at a very good location.