Artificial Intelligence (AI) Internship Intellisqr

0.0 - 4.0 years

0 Lacs

delhi

On-site

As an intern at IntelliSQr, you will be responsible for assisting in various tasks related to data processing and machine learning projects. Your day-to-day responsibilities will include: - Assisting in the collection, cleaning, and preprocessing of data for Machine Learning (ML), Deep Learning (DL), and GenAI projects. - Supporting the development, training, and evaluation of machine learning and deep learning models. - Working on fine-tuning and evaluating Large Language Models (LLMs) for specific tasks. - Exploring and experimenting with GenAI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, Transformers. - Contributing to the building and testing of AI/ML/DL pipelines and GenAI-powered applications. - Conducting literature reviews to stay updated on recent advancements in ML, DL, and LLMs. - Performing prompt engineering and optimizing LLM outputs for relevance and accuracy. - Documenting model architectures, experiments, findings, and improvement suggestions. - Collaborating with AI engineers and product teams to integrate models into real-world applications. - Participating in code reviews, version control, and team discussions to enhance learning and contribution. About Company: IntelliSQr is a technology procurement platform specializing in business analytics solutions across various industries. The company aims to simplify the process for customers by recommending suitable solutions based on their business and technical requirements.,

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Computer Vision Engineer Eqaim Technology & Services

2.0 - 6.0 years

0 Lacs

noida, uttar pradesh

On-site

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

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