Interesting Job Opportunity: Generative AI Engineer - LLM
Prismforce · Bengaluru · onsite · Posted 30d ago
Not disclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Description
Education & Experience :
- Fine-tune LLMs using techniques like LoRA and QLoRA
- Evaluate and improve RAG (Retrieval-Augmented Generation) pipelines for groundedness, accuracy, and relevance
- Apply transfer learning and transformer architectures in model development
- Validate model accuracy and performance using appropriate metrics
- Collaborate with product teams and communicate insights to senior leadership
- Participate in problem-solving sessions and contribute innovative ideas
- Maintain an experimental mindset and continuously explore new approaches
- Identify and integrate relevant data sources to build meaningful datasets
- Automate data collection and preprocessing for structured and unstructured data
- Handle large-scale data to feed analytical and predictive models
- Build and optimize machine learning and deep learning models, including NLP solutions
Education & Experience :
- Bachelors degree in a quantitative field (Computer Science, Engineering, Physics, Mathematics, Operations Research) or equivalent experience
- 3 - 5 years of hands-on experience in Gen AI and NLP
- Prior experience in startups or high-growth environments is a plus
- Deep expertise in NLP techniques : text generation, sentiment analysis, NER, and language modeling
- Hands-on experience with LLMs and RAG pipelines
- Proficiency in neural network frameworks : TensorFlow, PyTorch
- Familiarity with transformer architecture and transfer learning
- Fluency in at least one programming language : Python, R, or Julia
- Experience with Gen AI libraries : Hugging Face, OpenAI, etc.
- Strong foundation in ML algorithms : supervised, unsupervised, reinforcement learning, Bayesian inference
- Fine Tuning, Transfer Learning, Pytorch, Tensorflow
Sourced from foundit
Skills
Gen AI librariesFine Tuningreinforcement learningml algorithmsrRAG PipelinesJuliaHugging Face TransformersLarge Language Models (LLMs)NLP techniquesTransformer ArchitectureTransfer LearningOpenAI SDKSentiment AnalysisPytorchTensorflowbayesian inferenceNERPythontext generationneural network frameworksLanguage modeling