AI & Data Engineer – EU Projects
Technology & Business Solutions, LLC
full-time
Posted on:
Location Type: Hybrid
Location: Sofia • Bulgaria
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Job Level
About the role
- Design, implement, and evaluate machine learning and AI models for research-driven and applied innovation use cases
- Preprocess, clean, and analyze structured and unstructured data to support model development and data driven experimentation in EU projects
- Integrate AI models into applications or services (as an example via APIs or microservices), ensuring compatibility with project architectures and partner systems
- Collaborate with cross-functional teams (researchers, developers, domain experts) in international EU-funded consortia, supporting technical coordination and alignment
- Prepare technical documentation, reports, and contributions to EU project outputs, in line with the funding requirements
- Participate in experiments, benchmarking, and performance optimization of AI models
- Monitor model performance in production and propose improvements
- Stay up to date with current AI/ML tools, frameworks, and best practices, and actively contribute to internal knowledge sharing and innovation activities
- Support the preparation of project proposals, technical annexes, and concept notes in collaboration with project managers and researchers
- Contribute to the alignment of AI solutions with data protection, ethics, and EU regulatory frameworks
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)
- 1–3 years of experience working with AI/ML or data-focused software development (internships and academic projects count)
- Solid programming skills in Python and experience with AI/ML libraries (as an example PyTorch, Transformers, TensorFlow, or scikit-learn) and LLM frameworks (as an example LangChain, LlamaIndex, or LangGraph)
- Understanding of core machine learning concepts (supervised and unsupervised learning, model evaluation, overfitting, etc.)
- Familiarity with deep learning (as an example neural networks, transformers, computer vision, or NLP models)
- Experience with data processing tools, vector databases, or RAG (Retrieval-Augmented Generation) pipelines
- Basic understanding of MLOps concepts (version control, reproducible experiments, environments, CI/CD, or model deployment)
- Fluent English (C1 level or equivalent) with the ability to write clear technical documentation and communicate with international stakeholders in EU-funded projects
- Ability to work in multidisciplinary and international project teams, following structured project workflows and timelines
- Required to pass a security background check for access to classified information
Benefits
- Impact: Be part of a dynamic and collaborative environment where you can have a significant impact in the ever-evolving field of IT technologies
- Innovation: Be part of a team that thrives on staying ahead of the curve in the ever-evolving field of technologies
- Collaboration: Create and drive a community around you
- Professional growth: Continuous Learning and Career Upskilling Opportunities
- Flexibility and Hybrid working model
- Performance-based Bonus Scheme
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencePythonPyTorchTransformersTensorFlowscikit-learnLangChainLlamaIndexLangGraph
Soft Skills
collaborationcommunicationtechnical documentationproblem-solvingmultidisciplinary teamworkproject managementadaptabilityinnovationalignmentstakeholder engagement
Certifications
Bachelor's degree in Computer ScienceMaster's degree in EngineeringMaster's degree in Mathematics