Company Description

Arηs is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, digital trust, cloud, data science, mobile development, machine learning and infrastructure services.

We are composed of 16 entities across 8 countries worldwide that are unified by the Arηs Group, with more than 2500 consultants. This corporate structure enables us to respond quickly to market changes and customer requests, and to communicate and make decisions without layers of bureaucracy.

Established in 2016, the Greek entity Arηs Developments Hellas aims to extend Arηs Group activities dedicated to the European market providing high-quality services in Software Development, covering the entire application development lifecycle.

Job Description

• Collaborating on the creation of advanced data models and ontologies to support structured data organization, enabling seamless data integration and enhancing semantic interoperability across the enterprise.
• Engaging proactively with cross-functional teams to deeply understand their data needs, providing expert technical guidance on best practices and cutting-edge technologies.
• Developing a comprehensive data catalog to significantly enhance data discoverability, accessibility, and governance throughout the organization.
• Contribution to crafting and executing a data strategy and governance model, aligned with organizational objectives
• Designing and developing Artificial Intelligence pipelines for business applications, enabling enhanced data processing and insights
• Designing and implementing real-time data reporting solutions, ensuring data accuracy, automation, scalable storage solutions, and intuitive data visualization platforms.
• Actively participating in meetings, contributing groundbreaking ideas, and offering insightful feedback to drive project excellence and innovation.
   

Qualifications

Mandatory skills:

• Bachelor's Degree plus five years' of relevant professional experience
• Proven expertise in data management and data governance tools such as Apache Atlas or DataHub, enhancing data discoverability and governance across the organization.
• Extensive design and deployment experience in data pipelines, including hands­ on experience in Al, Machine Learning, and Generative Al (GenAI) solutions.
• Proven expertise in designing and developing advanced data reporting solution using various technologies for real-time data streaming (ex. Apache Kafka, or similar).
• Hands-on proficiency with data ingestion, storage, and visualization techniques using tools like the ELK stack, IBM solutions, Microsoft, or similar platforms
• Hands-on experience with deployment and fine-tuning Large Language Models (LLMs) and Transformers to align with specific business requirements and data environments, with familiarity in frameworks like Hugging Face Transformers, TensorFlow, and PyTorch for sophisticated model development.
• Very good communication skills in English Level B2/C1

Advantageous Skills

• Proficiency in Python programming, utilizing machine learning libraries for NLP and GenAI to develop innovative solutions.
• Experience with cloud platforms such as AWS or Azure, leveraging cloud-based technologies for scalable and efficient deployments.
• In-depth knowledge of containerization, enhancing application portability and scalability.
• Strong understanding of data structures, algorithms, and software design patterns, applying best practices to build robust and efficient systems.
• Proven ability to collaborate with cross-functional teams and stakeholders, fostering teamwork and driving projects to success.