Infrrd Internship 2024 | Machine Learning Intern | Work From Home

Infrrd has invited applications for the recruitment of Machine Learning Intern post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Infrrd Internship 2024 Details:

Experience: Freshers

Post Name: Machine Learning Intern

Qualification: Currently pursuing a Bachelor’s or Master’s degree or PhD in computer science or a related discipline

Batch: 2024/ 2025/ 2026

Salary: Rs. 6 LPA (expected)

Last Date to apply: As soon as possible

Job Locations: Work From Home

Website: www.infrrd.ai

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About Infrrd

Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. We are looking for Machine Learning Intern who will help us in designing, experimenting and implementing deep learning based Natural Language Processing architectures.

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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.

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Good to have:

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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How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: