AIML Engineer
- Accion Labs
- 7 - 12 years
- Bengaluru
- 2 months ago
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Job Description
Preferred candidate profile
1. LLM Basics : (Llama, Gemini ) : Understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks.
One should know what the data is trained on and any potential biases/issues that there may be with the data .
Knowledge on know exactly how big LLMs can be, how computationally expensive training will be, and the differences between training LLMs and machine learning models.
1. Prompt Engineering : Knowledge on designing inputs for LLMs once theyre developed.
2. Prompt Engineering with OpenAI : As a leading figure in LLMs and generative AI, its important to know how to use prompt engineering specifically with OpenAI tools, as youll likely be using them at some point in your career.
3. Question-Answering :Question-answering (QA) LLMs are a type of large language model that has been trained specifically to answer questions.
4. Fine-Tuning : Knowledge on Fine-tuning to improve the performance of an LLM on a variety of tasks, including text generation, translation, summarization, and question-answering.
Customize LLMs for specific applications, such as customer service chatbots or medical diagnosis systems.
Awareness on supervised learning. This involves providing the LLM with a dataset of labelled data, where each data point is a pair of input and output..
1. Lang Chain : To architect complex LLM pipelines by chaining multiple models together (Classification, text generation, code generation, etc.)`Agents` to interact with all these external systems to execute actions dictated by LLMs.
2. Parameter Efficiency/Tuning : LORA
3. RAG Building : Generative AI, mastering RAG buildingshort for Retrieval-Augmented Generationis becoming increasingly crucial
4. ML OPS and in particular LLMOps : Large Language Model Operations, is the practice of managing and maintaining large language models (LLMs) in a production setting
5. TensorFlow is like a versatile toolbox for creating intelligent programs that can learn and understand various concepts, including machine learning, deep learning, and data science
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Accion LabsLocation(s): Bengaluru
Keyskills: Huggingface LLMs Lora RAG Python Tensorflow Pytorch MLOPs Langchain Natural Language Processing AWS
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Accion Labs
Accion Labs is a Product Engineering Company Helping to Transform Businesses Through Emerging Technologies. This includes Web 2.0, Open Source, SaaS/Cloud, Mobility, IT Operations Management/ITSM, Big Data, and traditional BI/DW. Through nine global offices and a rapid-response delivery model, Accio...
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