Job Openings Senior AI/ML Engineer - Big Entities

About the job Senior AI/ML Engineer - Big Entities

This Job is posted by Taraki on behalf of its client, Big Entities. Candidates can apply here and also check out more jobs directly on our website.

JOB DETAILS

We are seeking an experienced AI/ML Engineer with a minimum of 4 years of hands-on experience in Natural Language Processing (NLP) and LLM (Large Language Model)-based solutions. The ideal candidate should have a strong background in Retrieval-Augmented Generation (RAG), vector database design, chunking strategies, and chatbot development, along with proven expertise in fine-tuning and integrating LLMs for real-world applications.

Key Responsibilities:

· Design and develop NLP pipelines to process and extract insights from unstructured data.
· Build and optimize RAG (Retrieval-Augmented Generation) workflows for LLM-based systems.
· Implement chunking strategies to improve information retrieval and response accuracy.
· Work with vector databases (e.g., Pinecone, Weaviate, FAISS) to store and retrieve embeddings efficiently.
· Develop conversational AI/chatbot solutions using modern frameworks and APIs.
· Fine-tune, integrate, and deploy LLMs (Open-source or proprietary) based on application needs.
· Collaborate with product and engineering teams to translate business requirements into intelligent AI-driven features.
· Conduct experiments, evaluate model performance, and optimize pipelines for scalability and accuracy.

Required Skills & Qualifications:
· 3+ years of experience in AI/ML Engineering, with a strong focus on NLP.
· Proven experience with RAG frameworks, LLM fine-tuning, and prompt engineering.
· Hands-on experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, etc.
· Strong understanding of embedding models, tokenization, and text chunking techniques.
· Experience in building chatbots and integrating with LLMs (OpenAI, Cohere, HuggingFace, etc.).
· Proficiency in Python and libraries like LangChain, Transformers, PyTorch, or TensorFlow.
· Experience with deploying models using APIs, microservices, or containerized solutions.

Nice to Have:
· Experience with multi-modal models (e.g., text + images).
· Knowledge of data privacy and security best practices in AI systems.
· Exposure to cloud services specially Azure for AI/ML workloads.

This is a full time position in DHA Phase 3 Lahore.