
AI/ML Engineer
EUROPEAN DYNAMICS
full-time
Posted on:
Location Type: Remote
Location: Greece
Visit company websiteExplore more
About the role
- Participate in requirements elicitation meetings and contribute to brainstorming sessions;
- Elaborate functional/non-functional specifications;
- Analyze data originating from various data sources, in order to drive optimization and improvement of product development and business strategies;
- Identify candidate models and algorithms matching the business problems;
- Develop PoC and enterprise solutions;
- Contribute to the full development lifecycle, through requirements gathering, analysis, design, implementation, testing, documentation, and maintenance of system components;
- Operate in a multinational environment, adhering to highly professional standards and methods;
- Ensure the delivery of quality products.
Requirements
- University degree in Data Science, Computer Science, Information Technology, or other related fields;
- Good understanding of a variety of AI and machine learning techniques and their real-world advantages/drawbacks;
- Good understanding of data modeling and evaluation;
- Good understanding of the ML lifecycle;
- Experience with Exploratory Data Analysis (EDA);
- Strong analytical capabilities, team and quality-oriented, keen to learn and excel; Excellent written and oral communication skills in English.
- Nice to Have:
- Experience with Big Data technologies, such as Spark (and PySpark);
- Experience with SQL and exposure to ETL development.
Benefits
- Competitive full-time salary
- Private Health Coverage on the Company’s group program
- Flexible Working Hours
- Top-of-the-Line Tools
- Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities
- Career Growth: Work with some of the most innovative and exciting specialists in the industry
- Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata modelingmachine learningAI techniquesExploratory Data AnalysisETL developmentSparkPySparkSQLfunctional specifications
Soft Skills
analytical capabilitiesteam-orientedquality-orientedkeen to learnexcellent communication skillswritten communicationoral communication
Certifications
university degree in Data Scienceuniversity degree in Computer Scienceuniversity degree in Information Technology