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Infrrd Started Hiring
| * Role: | Machine-Learning Intern |
| * Salary: | 35k-40k Per-Month |
| * Location: | Remote |
| * Experience: | Freshers |
| * Education | Bachelor’s/Master’s Degree/PhD |
| * Batch | Recent-Batches |
Table of Contents
Infrrd Mass Hiring 2024 For Machine Learning Intern – Bachelor’s/Master’s Degree
The detailed eligibility Criteria and application process are mentioned below.
Job Description
someone who has:
- Currently pursuing a Bachelor’s or Master’s degree or PhD in computer science or a related discipline with a focus on artificial intelligence, machine learning and computer vision.
- A mathematical, statistical and probability inclination and deep understanding of some AI concepts.
- Strong coding skills in Python or any AI language of choice.
- Academic / Industry experience in Computer Vision or NLP and Machine Learning.
- Expertise in Clustering Algorithms such as DBSCAN, K-Mean, and etc
- Expertise in Cross-Modality Knowledge
- Understanding of the usage of Transformer-based Language Models for textual embedding
- Understanding of the usage of Computer Vision Models for image embedding or feature extraction
- High Dimensional Vector Visualizations using PCA, TSNE
- Ability to run experiments scientifically and analyze results.
Good to have:
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- Knowledge into Auto encoders, Latent semantic analysis (LSA), Latent discriminant analysis (LDA), Principal component analysis (PCA), Kmeans, DBSCAN, mediod allgorithms, Kmeans, DBSCAN, mediod algorithms, Fischer Discriminant Analysis (FDA)
What you will do:
- Breaks down and understands complex business problems, translating it to a machine learning problem.
- Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
- Collaborates with development teams to test and deploy machine learning models.
- Creates metrics to continuously evaluate the performance of machine learning solutions.
- Keeps up with new tools, algorithms and techniques in machine learning and AI to implement them in the organization.
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