AI Engineer, Banking

🔥 0 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 16%

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Logo of Qualysoft

Qualysoft

501 - 1000 employees

Founded 1999

📣 Marketing

📦 Logistics

🏭 Manufacturing

Marketing • Logistics • Manufacturing

Qualysoft is an independent IT consultancy based in Vienna, founded in 1999. It specializes in delivering innovative technology solutions focused on business applications, CRM consultancy, ERP consultancy, marketing automation, and software engineering. With over 25 years of experience, Qualysoft utilizes advanced technologies such as AI and data analytics to help organizations streamline operations and enhance customer experience across various industries, including banking, manufacturing, and telecommunications.

📋 Description

• Collaborate with global region stakeholders to identify business needs and translate them into production-ready solutions • Create data transformation infrastructure and manage data ingestion for AI/ML processes • Transform models into production-ready APIs, microservices, and software applications • Monitor model performance, ensure scalability, and update systems to maintain accuracy • Build and maintain IT infrastructure for AI development, including AWS/GCP cloud platforms and containerization • Work with data scientists, engineers, and product managers to define AI strategies and implement features • Document AI processes, standards, and controls in line with the Bank’s data governance policies • Participate in Agile ceremonies, sprint planning, backlog grooming, and delivery cycles • Stay current with Generative AI and LLM trends and integrate advanced techniques where they provide business value • Support scalable and optimized AI/ML models • Build algorithms for extracting, transforming, and loading large volumes of real-time unstructured data for AI/ML solutions • Run experiments to test deployed model performance and resolve bugs • Apply statistics, scripting, and programming languages required by the firm • Work with relevant software platforms where models are deployed

🎯 Requirements

• Bachelor’s or Master’s degree in Artificial Intelligence / Data Science / Computer Science / Information Technology / Programming & System Analysis / Computer Studies / data science or a related field • Minimum of 3 years of professional experience as an AI Engineer • Proficiency in Python, advanced syntax, popular libraries such as Scikit-Learn, Object-Oriented Programming, S.O.L.I.D. principles, data structures and algorithms • Proficiency in Generative AI, large language models (LLMs), Retrieval-Augmented Generation, MCP, and multi-agent systems using ADK, DialogFlow, or equivalent cloud services • Knowledge and practical experience with operating systems, programming and querying languages such as Java and SQL, Git, Agile, Waterfall, CI/CD concepts such as Jenkins, testing, monitoring, design patterns, software architecture, and cloud technologies such as GCP, AWS, or Azure • Knowledge of machine learning theory and practical application • Ability to conduct code reviews • Proficiency in end-to-end data lifecycle, advanced data engineering, traditional and cloud databases, query optimization, data preprocessing, feature creation, data visualization such as Tableau, and communicating technical findings through data stories • Strong analytical, problem-solving, written, and verbal communication skills • Ability to work independently and collaboratively in global cross-functional teams • Familiarity with Agile methodologies and user story documentation

🏖️ Benefits

• Premium medical package • Lunch Tickets & Pluxee Card • Bookster subscription • 13th salary/yearly bonuses • Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational • A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities • Flexible working program and openness to remote work • Collaborative mindset – employees shape their own benefits, tools, team events and internal practices • Diverse opportunities in Software Development with international exposure • Flexibility to choose projects aligned with your career path and technical goals • Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud) • Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary

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