machine learning engineer.

The company offers continuous opportunities for development in a modern and dynamic work environment, as well as:

• Competitive remuneration package, cash perk, and annual bonus scheme.
• Hybrid working schedule
• Health insurance coverage and pension plan.
• Wellness perk.
• Cutting-edge IT equipment, mobile and data plan.

In this role, you will play a crucial part in leveraging data to drive strategic decisions. The main duties of the position include:

• Conduct thorough data analysis and preprocessing techniques to prepare large-scale datasets, leveraging big data technologies and distributed computing frameworks
• Evaluate and select appropriate machine learning algorithms and techniques based on project requirements and constraints
• Design and build machine learning models for player behavior prediction, personalized recommendations, and dynamic content generation
• Develop scalable and efficient machine learning pipelines for processing large volumes of data
• Work closely with software engineers, data engineers, product managers, and business stakeholders to integrate ML solutions into products and services
• Deploy and monitor the models to ensure optimal performance, accuracy and seamless integration into production systems, maintaining their effectiveness over time
• Implement best practices for deploying and monitoring ML models in production environments
• Continuously iterate and improve machine learning models based on feedback and evolving business needs
• Stay up-to-date with advancements in the AI/ML field, and contribute to the development of cutting-edge solutions

To qualify for the role, the following are required:

• Preferably a Bachelor and/or Postgraduate Degree in Computer Science or in a relevant field (Mathematics, Engineering etc.)Minimum 4 years of work experience in a relevant role
• Strong knowledge of Python, SQL and PySpark
• Strong knowledge of machine learning libraries (Scikit-learn, TensorFlow, PyTorch)
• Strong knowledge of machine learning algorithms for classification, clustering, and regression
• Experience in GenAI
• Experience in personalized customer suggestions (recommender systems)
• Strong understanding of machine learning concepts and the ML lifecycle
• Experience with CI/CD pipelines and MLOps
• Familiarity with cloud platforms (AWS, GCP, Azure), preferably Azure
• Strong collaboration and teamwork skills
• Ability to collaborate on projects and work independently when necessary
• Ability to translate complex business problems into scalable ML solutions
• Working proficiency and communication skills in verbal and written English

Desired Technical Skills

• Experience with Databricks and MLFlow
• Experience with Deep Learning models and techniques (NNs)
• Experience with LLMs and NLP techniques
• Generative AI knowledge

4+ years of experience as a Machine Learning Engineer

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.