Machine Learning Engineer

10 hours ago


Chennai India Umanist NA Full time

Job Description Machine Learning Engineer 325 Industry Semiconductor | Electronics | Hardware Manufacturing | Engineering Product Development | Technology & R&D Overview A global technology organization operating in the semiconductor and advanced electronics domain is seeking a Machine Learning / Deep Learning Engineer to design and develop AI-driven software solutions. The role focuses on creating advanced ML, DL, and LLM-based models that enhance precision, performance, and automation in manufacturing and inspection systems. The position offers a highly challenging and innovative environment where professionals can apply their technical expertise to solve complex problems in data science, image processing, and algorithmic optimization. Key Responsibilities - Design and develop machine learning and deep learning solutions for advanced metrology and semiconductor applications. - Build, train, and optimize ML/DL models for image processing and data-driven insights. - Develop, test, and deploy algorithms using frameworks such as PyTorch, TensorFlow, or Keras. - Work with Python and its scientific ecosystem (NumPy, Pandas, Scikit-learn) for data manipulation and prototyping. - Apply supervised and unsupervised learning techniques, including regularization, feature engineering, model selection, and ensemble methods (e.g., XGBoost, LightGBM). - Implement deep learning architectures such as CNNs, RNNs, LSTMs, Transformers, and Attention mechanisms. - Utilize vector databases (e.g., Milvus, FAISS, Pinecone, ElasticSearch) for information retrieval and LLM-driven applications. - Contribute to prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning large language models using frameworks like Hugging Face Transformers. - Work with data tools and platforms such as SQL, Git/GitHub, Docker, and Jupyter notebooks. - Collaborate with cross-functional teams to translate technical requirements into scalable, production-ready AI solutions. - Document algorithms, architecture, and processes while contributing to continuous system improvements. Required Qualifications - Education: - Doctorate degree with at least 2 years of relevant experience, or - Master's degree with 5 years of experience, or - Bachelor's degree with 7 years of experience in building AI systems and solutions using Machine Learning, Deep Learning, and LLMs. - Preference for candidates from Tier-1 or premier institutes (IIT, IISc, IIIT, NIT, BITS, or equivalent). - Core Experience: - Minimum 5 years of experience in Python, Machine Learning, Deep Learning, Algorithm Development, and Image Processing. - Minimum 3.5 to 4 years of hands-on proficiency with PyTorch or TensorFlow/Keras. - Strong foundation in data structures, algorithms, and object-oriented programming. - Solid understanding of software development best practices and performance optimization. - Proven experience working in product-based, semiconductor, or hardware manufacturing companies (current or past). - Consistent career progression with no significant employment gaps. Skills: algorithms,models,data,machine learning,manufacturing,semiconductor,deep learning,advanced,learning,image processing



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