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AI Engineer - Banking

1 month, 1 week ago
Romania
Full-time
Mid Level
AI Engineer
Software Development
Agile AWS Azure CI/CD Feature Engineering GCP Generative AI Git Java Jenkins Machine Learning Microservices NumPy Pandas Python Scikit-learn SQL Statistics Tableau
Apply Now
Qualysoft

Qualysoft

Founded in 1999 in Vienna, Qualysoft Group is an independent IT consulting and services company that offers tailored IT solutions to international customers. With over 500 specialists in Central and Eastern Europe, Qualysoft ensures the success of ever...

Internet Software & Services
251-1K
Founded 1999
View All Jobs 14

Description

  • Translate business needs from global stakeholders into production-ready AI solutions.
  • Build data transformation infrastructure and manage ingestion pipelines for AI/ML processes.
  • Deploy models as APIs, microservices, and applications while monitoring performance, scalability, and accuracy.
  • Build and maintain cloud and containerized infrastructure on platforms such as AWS and GCP.
  • Collaborate with data scientists, engineers, and product managers on AI strategies and features.
  • Document AI processes, standards, and controls in accordance with data governance policies.
  • Develop algorithms for extracting, transforming, and loading large volumes of real-time, unstructured data.
  • Run experiments, evaluate deployed model performance, and resolve defects.
  • Participate in Agile ceremonies, sprint planning, backlog refinement, and delivery cycles.
  • Track emerging AI technologies, including Generative AI and LLMs, and integrate them where they provide business value.

Requirements

  • Bachelor’s or Master’s degree in Artificial Intelligence, Data Science, Computer Science, Information Technology, or a related field, plus at least 3 years of professional AI Engineer experience.
  • Advanced Python proficiency, including Scikit-Learn and other common libraries, object-oriented programming, SOLID principles, and data structures and algorithms.
  • Experience applying Generative AI and tuning large language models, including RAG, MCP, and multi-agent systems using ADK, DialogFlow, or equivalent services.
  • Foundational software engineering knowledge covering operating systems, Java, SQL, Git, Agile or Waterfall methodologies, CI/CD, testing, monitoring, and design patterns.
  • Understanding of cloud technologies such as AWS, GCP, or Azure and practical knowledge of machine learning.
  • Experience with end-to-end data engineering, cloud and traditional databases, query optimization, preprocessing, feature engineering, and data visualization tools such as Tableau.
  • Ability to conduct code reviews and work with software platforms where models are deployed.
  • Strong analytical, problem-solving, written, and verbal communication skills.
  • Ability to work independently and collaboratively in global, cross-functional teams, with familiarity with Agile and user story documentation.

Benefits

  • Premium medical package.
  • Lunch tickets and Pluxee Card.
  • 13th salary and yearly bonuses.
  • Flexible working program with openness to remote work.
  • Supportive culture emphasizing ownership, autonomy, work-life balance, and team activities.
  • International software development opportunities and flexibility to choose projects aligned with career goals.
  • Access to learning platforms, courses, certifications, mentorship, and professional development opportunities.
  • Enterprise job security within a multinational company, combined with a startup-style environment and flat hierarchy.

Interested in this position?

Apply directly on the company website

Apply Now

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