Talent.com
This job offer is not available in your country.
LLM Engineer - NLP / Artificial Intelligence

LLM Engineer - NLP / Artificial Intelligence

Flipped.aiIndia
30+ days ago
Job description

Job Summary :

We are seeking a highly skilled and innovative LLM AI Engineer to join our AI / ML team. The ideal candidate will specialize in building, fine-tuning, and deploying Large Language Models (LLMs) to solve real-world problems across various domains. You will be responsible for developing state-of-the-art language models, integrating them into production systems, and collaborating with cross-functional teams to deliver impactful AI Responsibilities :

  • Design, develop, and fine-tune large-scale transformer-based models (e.g., GPT, BERT, LLaMA, Mistral, etc.).
  • Perform domain-specific adaptation and fine-tuning of foundation models using techniques like LoRA, PEFT, QLoRA, and prompt tuning.
  • Collaborate with data engineers and domain experts to curate, preprocess, and label high-quality datasets for training and evaluation.
  • Implement efficient training, evaluation, and deployment pipelines using frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and LangChain.
  • Optimize LLM inference and memory usage for scalability and latency reduction in production environments.
  • Develop APIs and tools to serve LLM-powered applications in real time.
  • Stay current with the latest research and advancements in NLP and LLMs and propose improvements or adoption of emerging techniques.
  • Ensure responsible AI usage by incorporating fairness, safety, interpretability, and compliance :

Must-Have :

  • Bachelors or Masters degree in Computer Science, AI, Machine Learning,
  • 2- 5+ years of experience in machine learning or natural language processing.
  • Hands-on experience working with LLMs (GPT-2 / 3 / 4, LLaMA, Mistral, Claude, PaLM, etc.).
  • Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, HuggingFace Transformers, TensorFlow).
  • Familiarity with prompt engineering, few-shot learning, retrieval-augmented generation (RAG), and model fine-tuning techniques.
  • Experience with REST APIs, containerization (Docker), and ML Ops tools (e.g., MLflow, Weights & Biases).
  • Good understanding of model evaluation metrics (BLEU, ROUGE, perplexity, hallucination :
  • Experience deploying LLMs on cloud platforms (AWS / GCP / Azure) or using services like SageMaker, Vertex AI, or Azure OpenAI.
  • Exposure to privacy-preserving ML, model distillation, or federated learning.
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS) and embedding techniques.
  • Experience with RLHF (Reinforcement Learning from Human Feedback).
  • Contributions to open-source LLM projects or research Skills :
  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication and documentation skills.
  • Collaborative mindset and ability to work in fast-paced environments.
  • Passion for AI / ML and a continuous learning attitude.

    • (ref : hirist.tech)

    Create a job alert for this search

    Engineer Llm • India