Machine Learning Engineer

3 weeks ago


Fremont, California, United States KPI Partners Full time

Machine Learning Engineer

KPI Partners is seeking a highly skilled and experienced Machine Learning Engineer to join our

team. In this role, you will be responsible for implementing cutting-edge AI and ML solutions to

enhance semiconductor manufacturing processes. You will work on a variety of projects, including Azure AI search indexing, LLM-based chatbot development, Databricks ML development for OCR, and text classification.

Key Responsibilities:

· Design, develop, and deploy AI and ML models to improve semiconductor manufacturing processes.

· Support the implementation of Azure AI search indexing to enhance data Retrieval Augmented Generation (RAG) and search capabilities.

· Develop and maintain a LLM RAG-based chatbot to improve customer interaction and support.

· Utilize Databricks for ML development, focusing on OCR and text classification projects.

· Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

· Ensure the scalability, reliability, and performance of ML models in production environments.

· Stay updated with the latest advancements in AI, ML, and data science to continuously improve solutions.

Projects include:

· Azure AI Search Indexing: Implementing advanced search indexing solutions using Azure AI to enhance data accessibility and retrieval.

· LLM RAG Chatbot: Support development of chatbot using RAG to improve customer support and interaction.

· Databricks ML Development for OCR: Leveraging Databricks for machine learning development, focusing on optical character recognition (OCR) to automate data extraction processes.

· Text Classification: Implementing text classification models to categorize and organize large volumes of textual data efficiently.

What we're looking for:

· Bachelor's degree in Computer Science, Data Science, or a related field.

· Master's degree in Data Science or a related field is preferred.

· Approximately 10 years of experience in Data Science, MLOps, and Computer Vision.

· Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing.

· Expertise in NLP, forecasting, and computer vision.

· Proficiency in Azure AI, Databricks, and other relevant tools and technologies.

· Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.

· Strong communication skills to effectively convey technical concepts to non-technical. stakeholders.

· Experience in developing and deploying scalable ML models in production environments.



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