Technical Ai Project Coordinator

vor 1 Woche

Wien, Österreich ONTEC AG Vollzeit

ONTEC is a specialist for business-critical systems. As a leading implementation partner, we support companies in digitizing their business-critical business processes, integrating AI solutions and operating their critical infrastructure. Our employees appreciate the excellent working atmosphere, the opportunity to get involved, to actively shape their role and to continuously develop professionally as well as personally.
To strengthen our team, we are looking for a responsible, accurate and solution-oriente
Technical AI Project Coordinator (M/F/x)
**Place of employment**: Homeoffice, 1020 Wien
Tasks
As Technical AI Project Coordinator (M/F/x), you'll help companies on their AI journey.
**Your tasks as Technical AI Project Coordinator (M/F/x)**:

- Project coordination and management for AI projects: Plan, execute, and oversee AI projects, including timelines, milestones, and resources.
- Collaboration with technical and non-technical stakeholders: Work closely with clients, internal teams, and other partners to clearly define and achieve project goals.
- Expectation Management: Manage customer expectations based on technical possibilities and the current state of the art in close collaboration with the delivery team.
- Evaluation and optimization of AI and RAG systems: Assess the functionality and effectiveness of RAG systems and machine learning models, ensuring they operate accurately and efficiently, including manual testing to evaluate response quality.
- Definition and validation of acceptance criteria: Define acceptance criteria with clients, conduct tests and analyses to verify that RAG systems and models meet these criteria, and document and present the results.
- Technical documentation and reporting: Ensure clear documentation of projects, technical requirements, and outcomes.
**\
- Support in model training**: Collaborate with data scientists and engineers in the development, adjustment, and fine-tuning of machine learning models.
**\
- Support in deployment and data integration**: Assist in the implementation of models and AI solutions into clients' existing infrastructure, including data integration and backend configuration.
- Support and troubleshooting: Provide assistance in solving issues that arise during the project, particularly regarding the integration of technical solutions.
- Just being awesome : -)

**Requirements**:
We place great value on our employees continuously developing and bringing a strong interest in new technologies and methodologies. Most importantly, you should be able to understand the technical and business challenges of our customers and work with our team to develop solutions based on Machine Learning, Data Science, and AI.
**What you should bring**:
**Must**:

- Experience in project management: At least 2-3 years of experience in coordinating or leading technical projects, ideally in AI or software development environments.
- Technical understanding: Experience or strong knowledge in AI, machine learning, model training, AI API utilization and the integration of AI solutions into business processes.
- Strong communication skills: Ability to clearly communicate technical and non-technical requirements and coordinate with clients and internal teams.
- Solution-oriented mindset: Analytical skills to quickly identify technical challenges and find appropriate solutions.
- Team player with independent working style: High level of initiative and ability to work both independently and in a team.
- Language skills: Excellent German and English skills, both written and spoken.

**Optional**:

- Understanding of RAG systems: Experience with Retrieval-Augmented Generation (RAG) systems or Large Language Models (LLMs) is advantageous.
- Knowledge in data management and integration: Experience with integrating data sources and working with databases (SQL/NoSQL). Experience with databases such as PostgreSQL is a plus.
- Experience in development and API integration: Proficiency in backend development (e.g., Python, FastAPI) and API integration, particularly for AI models like OpenAI and LLAMA-3.1 is advantageous.
- Experience with data science tools and frameworks: Familiarity with common data science and machine learning frameworks like Numpy, Pandas, and TensorFlow. Ideally, experience in training and optimizing models with these tools.
- Experience with CI/CD processes: Familiarity with Continuous Integration/Continuous Deployment (CI/CD) tools like GitLab, Jenkins, or similar.
- Experience with testing: Ideally, testing of AI-based systems (e.g., model validation, RAG systems), or alternatively, software systems.
- Lanugae skills: Viennese doesn't hurt

**Nice-to-have**:

- Knowledge in AI model optimization: Experience in optimizing and fine-tuning machine learning models to improve accuracy and performance.
- Experience in cloud integration: Familiarity with cloud technologies, particularly Docker, Kubernetes, or similar tools for containerization and orchestration.
- Ex

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