Data Scientist @ E-Group ICT Software Zrt. Budapest

Data Scientist @ E-Group ICT Software Zrt.

Budapest

• PhD or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
• Preferably 3+ years of experience in data science and/or machine learning roles, with a focus on predictive modeling. Experience with predictive maintenance projects is desirable.
• Proficiency in Python programming language and nice to have R, or Java. Experience working with SQL and NoSQL databases.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning, and experience with neural networks.
• Experience developing deployable code and deploying models in product-focused development under an agile environment.
• Strong analytical and problem-solving skills, with a keen ability to work with complex datasets and derive actionable insights.
• Good verbal and written communication skills, with the ability to clearly convey complex technical concepts to non-technical stakeholders.
• Proven ability to work collaboratively in cross-functional teams and drive projects to successful completion.

Our company is a rapidly expanding medium-sized high-tech software company, operating in the artificial intelligence technology industry. Based in Budapest, we develop unique technology components that are unmatched worldwide, in collaboration with European and global partners.

We are seeking a highly skilled and motivated Data Scientist to join our team for a critical project focused on predictive maintenance modeling and deployment. The ideal candidate will have a strong background in machine learning, data science, and data engineering, with specific experience in developing and deploying AI/ML models for predictive maintenance. You will play a key role in building robust models that integrate with our data infrastructure to deliver scalable, accurate, and timely predictions that help maintain the operational efficiency of our systems.

You will join a project in collaboration with a leading space agency focused on enhancing the maintenance of critical infrastructure using AI-assisted monitoring. In this role, you will help develop an AI-driven application that processes real-time data to recognize normal operational states and detect deviations. When anomalies are identified, the system will alert maintenance teams to investigate potential issues early, allowing for proactive interventions. This approach is designed to improve maintenance efficiency and increase service availability by enabling quicker responses to emerging anomalies.

What We Offer

• Competitive salary in a growing company developing unique, „beyond state-of-the-art” products and technologies.
  
• An opportunity to shape the future within a company where intelligent and passionate individuals work as a team.
  
• A workplace that values individuality and a passion for technology.
  
• Professional development, special support for personal trainings
  
• Responsibility, diverse and challenging professional work and appreciation
  
• Technology support tailored to personal needs, latest software tools
  
• Life and accident insurance
  
• Stable workplace
  
• A well-accustomed, professionally highly qualified team who have been working together for several years
  
• Supportive and friendly team-members
  
• Trained and helpful administrators
  
• Pleasant working environment, green, cosy, atmosphere in a modern office in Buda

,[Able to understand complex machine learning/AI use cases and translate it to system requirements, Design, develop, and implement machine learning models focused on predictive maintenance., Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models., Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products., Work closely with software developers and data engineers to integrate models into the existing infrastructure. Ensure that models are scalable, efficient, and maintainable., Work closely with external partners and clients to deliver AI/ML solutions., Monitor model performance, refine models to improve accuracy and efficiency, and reduce false positives in predictive maintenance alerts., Collaborate with cross-functional teams to design and deploy test bed environments that simulate real-world conditions. Validate and fine-tune models in these environments before full-scale deployment., Maintain thorough documentation of models, data pipelines, and processes. Communicate findings and model performance to stakeholders through clear and actionable reports., Remains up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutions., Mentor and coach junior data scientists and interns.] Requirements: Data science, Machine learning, Python, SQL, NoSQL, Agile, PyTorch, GPU, Predictive maintenance projects, R, Java, Airflow, AI pipeline, LLM Tools: . Additionally: Magánegészségügyi ellátás, Csoportos élet- és balesetbiztosítás, International projects, Külföldi konferenciák, Flat structure, Expert team, Barátságos csapat, Ingyenes kávé, tea, snack, Free parking, Mobiltelefon, Bike parking, Shower, Pihenő zóna, Startup atmosphere, Modern budai iroda, No dress code.

Kategorie

artificialIntelligence

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