AI Engineer
📢 We Are Hiring: AI Engineer (LLMs / RAG / ML / DL)
Quest Global is looking for a skilled AI Engineer with expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and deep learning architectures to join our Semiconductors team in Chennai.
📌 Job Details:
🔹 Role: AI Engineer (LLMs / RAG / ML / DL) | Job ID: P-116325
🔹 Location: Chennai, Tamil Nadu, India (Full-Time)
🔹 Domain: Semiconductors / Artificial Intelligence
🛠️ Key Responsibilities & Technical Skills:
▫️ AI Solutions for Semiconductor Domain: Support the semiconductor wafer inspection team by building practical AI/ML/LLM solutions for complex wafer-inspection and yield-engineering workflows.
▫️ LLM Application Development: Develop production-ready LLM systems covering fine-tuning strategies, prompt design, structured outputs, and efficient inference services.
▫️ Advanced RAG Architectures: Build and optimize high-performance RAG pipelines including text chunking strategies, embeddings, vector databases, specialized retrieval, and reranking.
▫️ ML/DL Modeling & Architecture: Implement robust machine learning algorithms (classification, regression, anomaly detection) and deep learning models using CNNs, RNNs, and Transformers.
▫️ Ecosystem Tooling: Leverage Python proficiency (NumPy, Pandas, scikit-learn) along with PyTorch/TensorFlow, HuggingFace transformers, tokenizers, and vector stores (FAISS, Milvus, Pinecone, ElasticSearch).
▫️ Evaluation & MLOps: Construct end-to-end evaluation metrics (F1, BLEU, perplexity, hallucination detection) using SQL, Git/GitHub, Jupyter, and Docker for scalable workflows.
📥 How to Apply:
1️⃣ Click the Google Form link below.
2️⃣ Fill in your professional details.
3️⃣ Upon submitting the form, you will receive the official Job Apply Link.
👉 Fill details here to get the apply link: https://lnkd.in/dugN8BZc)
#Hiring #AIEngineer #LLM #RAG #MachineLearning #DeepLearning #Python #Semiconductors #ComputerVision #QuestGlobal #ChennaiJobs
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Interview advice
Going for the Data Scientist role at Quest Global? A few things that help freshers walk in prepared:
- Be ready to explain one model you built in plain English — the problem, why you chose that approach, and how you knew it worked.
- Keep answers tight and on-point; avoid rambling or personal topics like religion, politics, relationships or family.
- Arrive 10 to 15 minutes early (not an hour), and carry a printed CV, a valid ID and any certificates.
- Practise once out loud with a friend or a mock interview — the more you rehearse, the calmer and clearer you will be on the day.
- Send a short thank-you message within a day that refers to something specific you discussed — most freshers skip this, and it is remembered.