A leading technology organisation is seeking a Senior AI Engineer (LLM / NLP) with 2-5 years of hands-on experience in NLP solution development, particularly in NLP solution design, development and deployment.
The role involves applying NLP knowledge to develop Gen AI solutions, leveraging on a machine learning framework, not limited to Tensorflow, Py-torch, etc.... Responsibilities include designing, developing, and deploying NLP solutions using cutting-edge techniques and technologies in cloud or on-premises environments. Participating in code reviews, architecture discussions, team meetings, and creating comprehensive documentation is expected. For senior staff positions, providing training and support to team members on software development practices and technologies is required.
Your new role
Your new role as a Senior NLP Engineer (LLM /NLP), you will be responsible for:
- Work closely with subject-matter experts to incorporate NLP components into existing systems and applications.
- Conduct independent research to refine and enhance product evaluation suites, ensuring accurate measurement of model and product performance.
- Engage in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training.
- Assess and compare different NLP techniques and tools to pinpoint the most effective approach for specific tasks.
- Execute thorough testing and validation procedures on NLP models to guarantee their resilience and dependability. Responsible from design to deployment of AI, ML, NLP and LLM solutions, knowledge of industry trends
- Work with advanced machine learning models, focus on large language models like chatbot/ GPT
- Conduct research and development projects within AI that align with our strategic objective
- Experience in end-to-end development/deployment of machine learning models in production using PyTorch or Tensorflow, experience with cloud platforms like AWS, Azure/ Google Cloud
What you'll need to succeed
- Degree holder in Computer Science, AI/ Machine Learning or a related field.
- 2–5 years’ experience in AI/ AML / NLP/ LLM, experience in applying these technologies to commercial projects.
- Experience of fine-tuning large language models, coding experience with big data tools including Python/ Java/ R/ Scala, use of TensorFlow, PyTorch and other machine learning Frameworks.
- Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Gensim, LangGraph,LlamaIndex)
- Proficiency in relevant GenAI frameworks (e.g., LangChain, LlamaIndex, Llamafactory)
- Knowledgeable with cloud platforms (AWS, GCP, or Azure cloud)
- Proven experience of handling project delivery in a multicultural environment, excellent problem-solving and analytical skills and working with cross-function teams
- Experience with specific NLP tasks such as text classification, named entity recognition, sentiment analysis, or question answering.
- Knowledge of natural language understanding (NLU) and natural language generation (NLG).
- Experience with producing NLP models and addressing real-world challenges.
What you'll get in return
In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email [email protected] for a confidential discussion on your career. Referrals are welcome.
If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.
EA Reg Number: R1988154
EA License Number: 07C3924 | Company Registration No: 200609504D
