Digital AI Engineer

With an experience of over 28 years, E-INFRA Group comprises 5 Romanian companies, active in the field of energy, constructions, and telecommunications infrastructure.

E-INFRA holding includes : Electrogrup, EPC contractor for complex projects in critical infrastructure for energy and renewable energy, construction and telecom projects, Nova Power and Gas active in energy production, energy and gas supply, natural gas distribution and energy and gas trading, Netcity Telecom, a company that develops and operates the metropolitan fiber optic infrastructure in Bucharest, Direct One, the operator of the largest neutral long distance fiber optic network with national coverage, maintenance services and telecom projects and WESEE, offering full installation and maintenance services for wind parks.

The main goal of the E-INFRA Group is to enhance the quality of life for individuals by providing modern cutting-edge infrastructure that supports a better future.

We are seeking a highly motivated and experienced AI and Digital Engineer to join our dynamic development team.

The successful candidate will be responsible for the design, development, and implementation of solutions based on artificial intelligence, digital automation, and emerging technologies.

This role involves close collaboration with both business and IT teams to transform operational processes through intelligent solutions, contributing to organizational efficiency and innovation.  This position is part of the AI & Digital Transformation department, within the IT division of E-INFRA, which provides technological support and digital solutions to all companies in the group : Nova Power and Gas, Electrogrup, Direct One, Wesse, and Netcity.

Responsibilities : Analyze large datasets to extract valuable insights and identify trends.

Develop systems for real-time data processing and analytics to provide immediate insights and responses.

Develop and implement machine learning models to solve complex business problems.

Continuously refine and optimize machine learning algorithms to improve accuracy and efficiency.

Design and implement AI models to automate and enhance business processes.

Develop predictive models to forecast trends, customer behaviors, and operational outcomes.

Utilize NLP techniques to analyze and interpret unstructured data, such as customer feedback and documents.

Work with cross-functional teams to understand data requirements and deliver actionable insights.

Create and present detailed reports on findings, recommendations, and solutions.

Promotes data culture, prepare knowledge sharing and education events relating to data usage Requirements : Advanced degree in Data Science, Computer Science, Statistics, Mathematics.

Minimum 7 years of experience as a BI Data Engineer, with a strong focus on designing and implementing solutions in the Microsoft Azure ecosystem (e.g., Azure Data Factory, Azure Synapse, Power BI, Azure SQL, Databricks).

Over 5 years of hands-on experience in Machine Learning, including building and deploying predictive models to support strategic business decisions across various domains.

Knowledge in Azure AI and ML services such as Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure Machine Learning, Azure Document Intelligence.

Experience connecting Azure Data Environment with external AI LLM solutions Nice to have experience with AI services from AWS or GCP.

Strong knowledge of statistical analysis and machine learning techniques Proficiency in programming languages such as Python or R, and experience with data visualization tools Min 2 years’ work experience with AI services Good knowledge of Data Management and Governance (MDM, Data Catalog, Taxonomy, Linage) Understanding of data supply & data demand and how to make data available Preferred Qualifications : Knowledge in Azure AI and ML services such as Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure Machine Learning, Azure Document Intelligence.

Experience connecting Azure Data Environment with external AI LLM solutions Familiarity with additional programming languages such as Python and R.

Knowledge of Microsoft Azure cloud platform.

Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

Understanding of AI model deployment and monitoring.

Knowledge of security best practices and compliance standards in AI and cloud environments.

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