Role Overview:
We are seeking an experienced AI Engineer with a solid background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.
Key Responsibilities:
Design, develop and deploy NLP and ML models for real world applications.
Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
Perform data preprocessing statistical analysis and experiment design to validate models.
Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
Continuously research and adopt state of the art techniques in NLP ML and LLMs.
Required Skills and Qualification:
Proven experience as a AI Engineer having 3-4 years of experience with a strong focus on NLP and ML.
Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
Proficiency in data analysis statistics and experiment design.
Strong understanding of cloud ML platforms - GCP preferred.
Excellent problem solving analytical and communication skills.
Strong debugging, troubleshooting, and problem-solving skills.
Excellent collaboration abilities.
Good to Have Skills:
Exposure to MLOps practices - CI CD for ML monitoring deployment.
Experience with other cloud platforms - AWS and Azure.