Conversational AI Innovator

Revolutionize Industries with Conversational AI

We are a leading technology company, pioneering the development of digital twin solutions. Our mission is to transform industries by creating intelligent, responsive digital twins that enhance decision-making, optimize operations, and drive innovation.

We are seeking an experienced Senior Machine Learning Engineer to join our 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).

• Design and Develop RAG Models: Create and refine Retrieval-Augmented Generation (RAG) models to enhance information retrieval and generation across various industries.
• Utilize 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.
• Fine-Tune Large Language Models: Customize and optimize large language models, such as GPT (Generative Pre-trained Transformer), for specific applications across multiple industries.
• Implement Advanced 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.
• Collaborate on System Integration: Work closely with software engineers to seamlessly integrate machine learning models into production environments, ensuring systems are scalable, reliable, and high-performing.
• 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.

• Bachelor's Degree or Higher: In Computer Science, Engineering, Mathematics, or related field. An advanced degree is 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: And containerization technologies, such as 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.

• Competitive Salary: $120,000 - $180,000 per year.
• Opportunities for Growth: Professional development and growth opportunities within the company.
• Dynamic Work Environment: A supportive and dynamic work environment with flexible working hours and home office opportunities.