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!
Data Scientist/ AI Developer
Full Time
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
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 members.
Modern workspace, at a very good location.
