AI & Data Analytics Engineer

Company Description

We are Netcompany-Intrasoft, a member of Netcompany Group A/S, and a leading European IT Solutions and Services company with strong international presence and expertise, dedicated to responsible digitalisation. We offer innovative and added-value solutions of the highest quality to a wide range of public and private organizations, while being a key-player in the EU Institutions for the past 30 years. We hold an outstanding record of 500+ organizations in 70+ countries, that have chosen our solutions and services, to fulfil their business needs. Our team of 3500+ professionals is our driving force and our most valuable asset.
For more information regarding our company, as current projects, job openings around Europe and life at Netcompany-Intrasoft, please visit our website: www.netcompany.com.

Job Description

Are you ready to discover the role of a AI & Data Analytics Engineer in Netcompany-Intrasoft?

Joining us as a AI & Data Analytics Engineer, you will have the opportunity to be a part of our highly skilled agile consultants teams working within large-scale transformation projects, that impact the life of millions of EU citizens.

As a AI & Data Analytics Engineer you will:

• Gathering and analysis of the business requirements.
• SWOT Analysis and return of investment definition.
• Technical analysis and specifications of AI and DA solutions.
• Exploratory data analysis to identify, analyse, and interpret patterns and trends in complex data sets for diagnosis and prediction.
• Design, modelling, development, management and review of end-to-end DA and AI products, prototypes and proof of concept based on on-prem and cloud data platforms. Including: data preparation and collection, feature engineering, model selection and training, visualisation, deployment, monitoring and maintenance.
• Set-up of MLOps including automatic testing and quality assurance.
• Definition and drafting of training and support procedures.
• Maintenance of DA and AI products, including troubleshooting, bug fixing, performance analysis, technical migrations, …
• Architecture, design, deployment, and management of Data Platforms building blocks would be an asset.
• Integration and reusability of COTS, SaaS, PaaS and SaaS.
• Conception and implementation of data protection measures, data security measures and disclosure control.
• Definition of test strategies, design, and testing.
• Definition of best practices and standards.
• Technology watch, technology evaluation and contribution to platform definition and strategy documents.

Qualifications

What would make you a fit for the role:

• A Master’s degree and 8+ years of experience
• Ability to effectively communicate with business stakeholders and explain complex technical elements in a simple way.
• Excellent analytical thinking, by using logic and reasoning to identify patterns and gaps while analysing and exploring data.
• In depth knowledge of Statistical analysis and data-driven decision-making.
• Extensive experience of Data Science and AI techniques, especially in prediction, machine learning and Generative AI.
• In depth knowledge of programming languages for data analytics and artificial intelligence (eg: python, R, …) and frameworks (eg: .Net AI and SpringAI)
• Experience in machine learning algorithms (eg: ANN, random forest, …) and deep learning frameworks
• Experience developing with reusable AI models (eg: huggingface), Generative AI APIs (eg: openai),
• Extensive experience in industrialization of DA and AI solutions
• In depth knowledge of MLOps tools, testing and quality assurance.
• Knowledge of visualisation tools (eg: PowerBI)
• Knowledge of SQL (eg: Oracle, SQL Server,…)
• Knowledge of orchestration (eg: Airflow) and ETL tools (eg: DBT, SSIS, …)
• Knowledge of No-SQL database (eg: MongoDB, Neo4j, …)
• Knowledge of search engines (eg: ElasticSearch, SOLR, …)
• Experience in setting up a Centre of Competence to provide advice, support and training for Data Analytics and AI related activities.
• Validation of technological orientations.
• Validation of business cases and/or maturity assessment studies.
• Knowledge of data modelling for data lakes and data warehouses.
• Technical guidance including solution finding for highly complicated issues.
• Experience in real time reporting would be an asset.
• Experience in linked open data and semantic technologies, ontologies, metadata standards, reference databases, multilingual thesauri and taxonomies would be an asset.
• Experience in cloud environments and containerisation

Additional Information

Being a part of the Netcompany-Ιntrasoft team, you will be provided with:

• The opportunity to work in a modern environment.
• A competitive compensation & benefits package.
• Hospitalization plan.
• Hybrid working model.
• Meal and commuting allowance.
• Well-being activities (on premises).
• Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings).
• A personalized development plan for targeted career growth.

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

#LI-VT1 #LI-Hybrid

*Please submit your CV in English

All applications will be treated as strictly confidential.

Our culture

Our people are the most important element of our success. Our work life is well defined by our set of fundamental Values: https://netcompany.com/careers/greece/our-values/

 #BePartOfSomethingGreat!

Please submit your CV in English. All applications will be treated as strictly confidential.

Should you be invited for an interview and be considered suitable candidates for the EU project at the first stage, we inform you that your CV may be forwarded to the relevant European Organization or third companies – consortium members participating in the specific EU project together with NETCOMPANY INTRASOFT for evaluation.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany-Intrasoft culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our our everyday working experience.