Umanist NA
Machine Learning Engineer
Umanist NAIndia21 hours ago
Full-timeEngineering, Information Technology
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

Key Skills

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