Infrrd is looking for people to join their team as Machine Learning Interns. This opportunity is open to candidates all over India, and the best part is, you can work from home! If you’re interested in machine learning and want to gain valuable experience, this could be a great chance for you.
In this role, you’ll get to learn and work on real projects, helping Infrrd develop and improve their technology. If you want to start your career, this internship offers a fantastic way to build your skills and grow in the field of machine learning.
Infrrd Job Description
| Company Name | Infrrd |
| Job Position | Machine Learning Intern |
| Education Qualification | Pursuing Bachelor Degree |
| Full / Part Time | Full Time |
| Fresher / Experienced | Fresher |
| Job Location | Across India (Remote/Work From Home) |
| Req Id | Nil |
We are an AI company that helps businesses use artificial intelligence and machine learning to automate tasks usually done by people. We are looking for a Machine Learning Intern to join our team. This person will help us create and test new ways to use deep learning for understanding and processing language.
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Infrrd Machine Learning Intern Qualifications & Skills Required
- Currently pursuing a Bachelor’s, Master’s, or PhD in computer science or a related field focused on AI, machine learning, or computer vision.
- Strong background in mathematics, statistics, and probability, with a deep understanding of AI concepts.
- Proficient in coding, especially in Python or any preferred AI language.
- Experience in computer vision, natural language processing (NLP), and machine learning, whether through academics or industry.
- Expertise in clustering algorithms like DBSCAN and K-Means.
- Knowledge of cross-modality techniques.
- Understanding how to use transformer-based language models for text embedding.
- Familiarity with computer vision models for image embedding or feature extraction.
- Skilled in visualizing high-dimensional data using techniques like PCA and t-SNE.
- Ability to conduct experiments scientifically and analyze the results effectively.
Note :
knowledge in various data analysis techniques, including autoencoders, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA). Familiarity with Principal Component Analysis (PCA), K-Means, DBSCAN, and medoid algorithms, Fischer Discriminant Analysis (FDA) is an advantage.
Infrrd Machine Learning Intern Roles and responsibilities
- Understands difficult business problems and converts them to machine learning problems.
- Designs and builds scalable solutions using machine learning and deep learning models.
- Works with development teams to test and deploy machine learning models.
- Creates metrics to regularly evaluate the performance of machine learning solutions.
- Stays updated on new tools, algorithms, and techniques in machine learning and AI to use them in the company.
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