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An innovative firm is seeking an AI Engineer to join their AI/ML team. In this role, you will leverage your expertise in Natural Language Processing and Large Language Models to design and deploy intelligent systems that understand human language. You will be responsible for building and optimizing NLP pipelines, collaborating with cross-functional teams, and ensuring scalable deployment of models using cloud platforms. If you are passionate about transforming AI research into real-world applications and thrive in a dynamic environment, this opportunity is perfect for you.
Our client is seeking an AI Engineer with hands-on experience in Large Language Models (LLMs) and Natural Language Processing (NLP) to be part of the AI/ML team. You will play a key role in designing, developing, and deploying intelligent systems that process and understand human language at scale. If you're passionate about working with cutting-edge language models and transforming AI research into real-world applications, we want to hear from you.
Design, fine-tune, and deploy LLMs (e.g., GPT, LLaMA, Claude, Mistral, or similar) for specific use cases
Build and optimize NLP pipelines for tasks such as text classification, summarization, entity recognition, sentiment analysis, and question answering
Work with APIs and open-source frameworks (e.g., Hugging Face Transformers, LangChain)
Collaborate with data engineers, software developers, and product teams to integrate AI models into production systems
Perform data preprocessing, feature engineering, and prompt engineering to improve model outcomes
Monitor model performance and iterate based on feedback and evaluation metrics
Stay up-to-date with the latest in NLP research and foundation models
Ensure scalable deployment of models using cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP AI Platform)
What we are looking for:
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field
2–5+ years of experience in AI/ML with a strong focus on NLP and LLMs
Proficiency in Python and key ML/NLP libraries (e.g., Transformers, SpaCy, NLTK, PyTorch, TensorFlow)
Experience working with Hugging Face, OpenAI, Cohere, or similar LLM providers
Strong understanding of prompt engineering, fine-tuning, and evaluation techniques
Experience deploying models in real-world applications using RESTful APIs or microservices
Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) approaches
Solid problem-solving skills and ability to work in cross-functional teams
Interested candidates who wish to apply for the advertised position, please click on "Apply Now". We regret that only shortlisted candidates will be notified.
Job Code: ANNH
EA License: 01C4394
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