Machine Learning Engineer LLMRAG

At DigitalTwin Technology we are at the forefront of transforming industries through our groundbreaking digital twin solutions. Our mission is to revolutionize how organizations interact with data by creating intelligent responsive digital twins that enhance decisionmaking optimize operations and drive innovation. We are looking for a highly skilled Senior Machine Learning Engineer to join our dynamic team and contribute to the development of advanced RetrievalAugmented 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).

As a Senior Machine Learning Engineer specializing in Conversational AI you will be instrumental in designing developing and deploying cuttingedge models that power our digital twin solutions. You will work closely with crossfunctional teams including product managers software engineers and data scientists to seamlessly integrate machine learning capabilities into our products ensuring they meet the highest standards of performance and usability. Join us in shaping the future of intelligent systems and making a significant impact on industries worldwide.

Tasks

• Design Develop and Optimize RAG Models: Create and refine RetrievalAugmented Generation (RAG) models to enhance information retrieval and generation across various industries ensuring accurate and contextually relevant responses in our conversational AI systems.
• Utilize Advanced Indexing Techniques: Leverage vector databases and cuttingedge indexing methods to efficiently store manage and retrieve relevant data optimizing performance for diverse conversational contexts across different sectors.
• FineTune Large Language Models: Customize and optimize large language models such as GPT (Generative Pretrained Transformer) for specific applications across multiple industries tailoring their accuracy and relevance to meet varied use cases.
• Implement Advanced NLP NLU and NLG Techniques: Experiment with and apply stateoftheart Natural Language Processing (NLP) Natural Language Understanding (NLU) and Natural Language Generation (NLG) methods to continually enhance the capabilities and performance of our AIdriven solutions.
• Collaborate on System Integration: Work closely with software engineers to seamlessly integrate machine learning models into production environments ensuring systems are scalable reliable and highperforming 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.
• Provide 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 multiindustry environment.

Requirements

• Bachelors 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 finetuning 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 problemsolving abilities and a pragmatic approach to building scalable and robust machine learning systems.
• Strong communication skills with the ability to collaborate effectively with crossfunctional teams and articulate complex technical concepts to nontechnical stakeholders.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• A supportive and dynamic work environment.
• Flexible working hours and home office opportunities.

Interested candidates should send their CV and a cover letter with relevant experience to jobyardigitaltwindottechnology.