Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities:
- Develop and implement machine learning models especially for extracting insights from unstructured data.
- Work with Large Language Models (LLMs) such as GPT and Gemini to finetune and optimize outputs.
- Design and build RetrievalAugmented Generation (RAG) systems to enhance information retrieval from large datasets.
- Extract information from unstructured data sources like PDFs using tools such as PDFMiner PyMuPDF or PDFPlumber.
- Apply Optical Character Recognition (OCR) techniques for document processing.
- Utilize Vector Databases LangChain and Lama Index for efficient data storage and retrieval.
- Process large volumes of unstructured data particularly in insurance legal or healthcare sectors.
- Collaborate with data scientists and engineers to enhance model performance and improve outcomes.
- Optimize data workflows using Azure Cloud services.
- Keep uptodate with advancements in machine learning and deep learning especially in NLP computer vision and generative AI models.
Requirements:
- 5 years of handson experience in machine learning and data engineering.
- Extensive knowledge of data science machine learning techniques and data processing.
- Experience in working with unstructured data specifically from PDFs.
- Proficient in Large Language Models (LLMs) like GPT and Gemini with knowledge of prompt engineering and finetuning.
- Proven experience in building and implementing RetrievalAugmented Generation (RAG) systems.
- Familiarity with Vector Databases Azure Cloud LangChain Lama Index and OCR tools.
- Handson experience with PDFtotext extraction tools such as PDFMiner PyMuPDF or PDFPlumber.
- Strong background in machine learning deep learning computer vision NLP and generative AI models.
- Good to have: Working knowledge of Python and libraries like NumPy pandas scikitlearn TensorFlow and PyTorch.
Preferred Qualifications:
- BE/MS/PhD in Computer Science Data Science Machine Learning or related fields.
retrieval-augmented generation (rag) systems,machine learning,azure cloud services,pdfplumber,pymupdf,gemini,scikit-learn,pdfminer,unstructured data,langchain,pandas,computer vision,vector databases,generative ai models,lama index,optical character recognition (ocr) techniques,numpy,nlp,python,pytorch,gpt,large language models (llms),tensorflow,data engineering
Employment Type
Full Time
Company Industry
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
