BMW TechWorks Romania is seeking a highly skilled AI Expert with a strong background in machine learning and data engineering to join their innovative team. The ideal candidate will have extensive experience in developing AI-driven solutions, particularly leveraging large language models (LLMs) and generative AI technologies.
Requirements
- Bachelor's Degree in Computer Science, Engineering, Artificial Intelligence, or a related field
- Minimum of 5-7 years of experience in software development, with at least 3 years focused on AI and machine learning
- Strong proficiency in Python and Java, with experience in frameworks such as Spring Boot and Quarkus
- Experience with large language models (GPT, Claude, etc.) and their integration into enterprise applications
- Deep understanding of Retrieval Augmented Generation (RAG) architecture and vector databases
- Experience developing natural language processing solutions, particularly text-to-SQL and conversational AI
- Knowledge of speech-to-text and text-to-speech technologies and their implementation
- Experience designing and implementing agentic AI systems capable of autonomous decision-making
- Knowledge of containerization and orchestration tools like Docker and Kubernetes and Infrastructure as Code (Terraform)
- Understanding of AI model deployment in production environments
- Experience with prompt engineering and fine-tuning of large language models
- Deep understanding of cloud architecture and AWS services (ECS, S3, etc.)
- Experience with monitoring and observability tools (Prometheus, Grafana, ELK)
- Proficiency in DevOps practices and CI/CD pipeline implementation
- Proficiency with version control systems (Git) and build tools (GitHubActions)
- Excellent English verbal and written skills
- German communication skills will be a plus
Benefits
- Challenging projects with which we are shaping the mobility of tomorrow
- Great team spirit within an international team
- State-of-the-art global IT landscape and processes
- 100% implementation of the Agile Working Model methodology
- Wide range of personal & professional development opportunities
- High level of job security
- Work-Life-Balance and flexible working hours
- Attractive and performance-related remuneration
- Dynamic and highly-motivating work environment