Digital Twin Solutions Architect

Vor 6 Tagen

Köln, Nordrhein-Westfalen, Deutschland DigitalTwin Technology GmbH Vollzeit
Transforming Industries with Digital Twins

We are at the forefront of a technological revolution, leveraging digital twin solutions to transform industries worldwide. Our mission is to create intelligent, responsive systems that enhance decision-making, optimize operations, and drive innovation.

Senior Machine Learning Engineer Opportunity

We are seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team and contribute to the development of advanced Retrieval-Augmented Generation (RAG) models and large language models, utilizing the latest techniques in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG).

About the Role
  • Design and Develop RAG Models: Create and refine Retrieval-Augmented Generation (RAG) models to enhance information retrieval and generation across various industries, ensuring accurate and contextually relevant responses in our conversational AI systems.
  • Advanced Indexing Techniques: Leverage vector databases and cutting-edge indexing methods to efficiently store, manage, and retrieve relevant data, optimizing performance for diverse conversational contexts across different sectors.
  • Fine-Tune Large Language Models: Customize and optimize large language models, such as GPT (Generative Pre-trained Transformer), for specific applications across multiple industries, tailoring their accuracy and relevance to meet varied use cases.
  • NLP, NLU, and NLG Techniques: Experiment with and apply state-of-the-art Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG) methods to continually enhance the capabilities and performance of our AI-driven solutions.
  • System Integration: Work closely with software engineers to seamlessly integrate machine learning models into production environments, ensuring systems are scalable, reliable, and high-performing across a wide range of industries.
  • Stay Ahead of Industry Advancements: Engage in ongoing research and monitor the latest developments in machine learning, NLP, and conversational AI to drive continuous innovation and maintain a competitive edge, regardless of the industry.
  • Technical Leadership and Mentorship: Offer guidance and support to junior machine learning team members, fostering a culture of continuous learning, professional development, and collaboration within a diverse, multi-industry environment.
Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.
  • 5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions.
  • Proven expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
  • Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.
  • Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.
  • Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders.
Benefits
  • $120,000 - $150,000 per year salary, depending on experience.
  • Opportunities for professional development and growth.
  • A supportive and dynamic work environment.
  • Flexible working hours and home office opportunities.

Estimated Salary: $135,000 per year

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