Machine Learning Engineer, AI
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Job Description
Machine Learning / AI Engineer collaborating with clients and optimizing AI solutions. Role involves deployment and continuous improvement of data pipelines in a fully remote setting.
Responsibilities:
- Collaborate with major clients & partners
- Explain technical concepts clearly and propose solutions directly with major clients & partners
- Assess, monitor, and continuously improve the performance of our Retrieval-Augmented Generation (RAG) pipeline to ensure high-quality responses to legal queries
- Prototype, evaluate, and evolve our RAG pipeline to improve answer accuracy, speed, and cost efficiency
- Design, implement, and maintain robust ETL pipelines for seamless data transformation
- Optimize workflows for storing and managing parsed content in a vector database to enable efficient information retrieval
- Develop and enhance embedding and chat models to optimize user experience
- Work closely with the software engineering team to integrate AI/ML components into the overall product architecture
- Deploy LLMs and related models to production using Azure cloud infrastructure to ensure optimal performance and reliability
- Collaborate with the operations team to automate model deployment using Terraform and other CI/CD tools to ensure scalability and efficiency
Requirements:
- More than 5 years of relevant professional experience in machine learning, data engineering, and cloud-based operational models
- Excellent German skills (native) and very good English skills (professional level)
- Master's degree in Computer Science, Mathematics, Engineering, or a related field, or an equivalent alternative qualification
- Strong knowledge of machine learning, data pipelines, and cloud-based operational environments for seamless integration and delivery of AI-powered solutions
- Experience with: Python, PostgreSQL, Docker, Azure, Qdrant or other vector databases
- Familiarity with FastAPI, SQLAlchemy, and Alembic is a major plus
- Passion for writing high-quality, elegant code
- Strong communication and presentation skills for customer collaboration
- Keen interest in new and emerging technologies and a proactive learning attitude
Benefits:
- 30 days of vacation
- EGYM Wellpass & Urban Sports Club. We subsidize a membership of your choice.
- Flexible working hours
- Remote company first. Benefit from the opportunity to work 100% remotely or use one of our co-working spaces across Germany
- Personal and professional growth. Want further training? We'll find the right option for you!
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