Experience:

• 3–6 years of hands-on experience in AI, Machine Learning and NLP

Responsibilities:

• Design and develop machine learning models, with a focus on Natural Language Processing (NLP) use cases
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using tools like Langchain and vector databases
• Fine-tune and integrate large language models (e.g., OpenAI, Llama, Cohere) into internal workflows and applications
• Develop scalable and production-ready AI services using Python and relevant libraries
• Perform data preprocessing, tokenization, stemming, and vectorization using libraries such as NLTK, spaCy, and Transformers
• Design and maintain evaluation frameworks to measure the accuracy, relevance, and latency of NLP models
• Collaborate with data engineers, backend developers, and product managers to integrate AI models into applications
• Conduct experiments and ablation studies to validate model choices and configurations
• Manage, monitor, and maintain model performance in production environments
• Document model assumptions, training pipelines, APIs, and deployment steps clearly
• Stay abreast of advancements in LLMs, embeddings, and retrieval techniques
• Participate in code reviews, technical discussions, and cross-functional meetings
• Identify and solve practical NLP problems in areas like question answering, summarization, entity extraction, and semantic search
• Support continuous improvement by automating retraining pipelines and incorporating user feedback into iterative model refinement

More skills:

PyTorch/TensorFlow, vector libraries & databases (e.g., FAISS, Pinecone, Weaviate), LLM APIs, retrieval, ranking, and semantic similarity techniques

Other:

• Adhere to Nomia’s data protection and information security policies at all times
• Promote diversity and inclusion in line with Nomia’s core values
• Contribute to continuous improvement in systems and processes
• This role description is a guideline, and duties may evolve over time