Drive Your Dreams: Infrrd Internship Program 2024
New to Infrrd? No worries! We’re a leading Enterprise AI company that uses AI and Machine Learning to automate human tasks for our customers. And yes, it’s pronounced “In-fur-d”
We’re looking for talented Machine Learning Interns like you to help us design, experiment, and implement cutting-edge Natural Language Processing architectures using deep learning.
As an intern, you’ll get to:
- Work on exciting projects that impact real-world problems
- Collaborate with our team of AI experts
- Gain hands-on experience with industry-leading technologies
- Enhance your skills and build your portfolio
Don’t miss this opportunity to kick-start your career in AI! Apply now and let’s shape the future together
| Job Title | “Infrrd’s 2024 Remote Machine Learning Internship | Students, Join Our Team! |
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| Description | Pursuing a degree in Computer Science or a related field with a passion for AI, ML, and Computer Vision? Apply now! |
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| Estimated salary | Hourly earnings will be provided. |
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| Work Location | Remote work location |
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| Career opportunity | Full-time |
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*Essential Skills:
- Students pursuing a degree in Computer Science or related fields with a focus on AI, ML, and Computer Vision are encouraged to apply!
- Strong foundation in mathematical and statistical theories
- In-depth understanding of probability distributions and stochastic processes
- Familiarity with artificial intelligence concepts, including machine learning and deep learning
- Proficient in Python or other AI programming languages
- Experience in Computer Vision, NLP, or Machine Learning
- Academic or industry background in AI
- Proficient in various clustering algorithms, including: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) K-Means (K-Means Clustering) etc
- Cross-modality knowledge expertise: *Text *Images *Audio *Video
- Knowledge of Transformer-based Language Models for text embedding
- Knowledge of Computer Vision Models for image embedding or feature extraction
- High-dimensional vector visualization techniques: PCA (Principal Component Analysis) and TSNE (t-Distributed Stochastic Neighbor Embedding)
- Ability to conduct scientific experiments and analyze results
*Skills to have in addition:
- knowledge in Auto encoders for dimensionality reduction and feature learning
- knowledge in Latent semantic analysis (LSA) for text analysis and topic modeling
- knowledge in Latent discriminant analysis (LDA) for dimensionality reduction and classification
- knowledge in Principal component analysis (PCA) for dimensionality reduction and feature extraction
- knowledge in Kmeans, DBSCAN, and mediod algorithms for clustering and unsupervised learning
- knowledge in Fischer Discriminant Analysis (FDA) for classification and dimensionality reduction
*Job responsibilities:
- Deconstructs complex business issues, formulating them into well-defined machine learning problems
- Architects and implements scalable, enterprise-level solutions utilizing machine learning and deep learning models
- Work closely with development teams to validate, test, and deploy machine learning models in production-ready environments
- Designs and implements key performance indicators (KPIs) and metrics to continuously assess and optimize machine learning model accuracy, precision, recall, F1 score, and other relevant evaluation metrics
- Explore the latest advancements in machine learning and AI, and pioneers their application within the organization to drive innovation and growth
Top destinations for job and internship seekers
Apply now: Click Here (Remote Machine Learning Internship 2024 by Infrrd)