Machine Learning Intern

2 weeks ago

India Infrrd Full time

Hello there Infrrd here.

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.

**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 KNN, 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**:

- 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.

Looking forward to talking to you.

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