Infrrd Internship 2024
Join Infrrd’s 2024 Internship and kickstart your career as a Machine Learning Intern. As part of our dynamic team, you’ll have the chance to learn and grow in a supportive environment while working on exciting projects that push the boundaries of technology. Whether you’re a recent graduate or a coding enthusiast looking to launch your career, this role offers the perfect platform to develop your skills and make a meaningful impact. Take the first step towards a successful career. Apply now!
About Infrrd
Infrrd’s intelligent data processing and automation solutions automate data extraction from complex, unstructured documents with guaranteed accuracy. Infrrd IDP is a dream project of passionate engineers who believe in the transformational power of AI and its absolute necessity in digital transformation.
Company Details
- Company Name: Infrrd
- Official Website: Infrrd
Job Profile: Machine Learning Intern
- Degree Needed: B.E/B.Tech/M.E/M.Tech
- Passout Year: 2023/2024
- Job Location: Remote, India
- Experience Level: 0-1 Year
- Salary: Best in Industry
Job Description
We are looking for a Machine Learning Intern who will help us design, experiment, and implement deep learning-based Natural Language Processing architectures. The ideal candidate should have:
- Currently pursuing a Bachelor’s, Master’s, or PhD in computer science or a related discipline with a focus on AI, machine learning, and computer vision
- A strong inclination towards mathematics, statistics, and probability with a deep understanding of AI concepts
- Proficiency in coding with Python or any AI language of choice
- Academic or industry experience in Computer Vision, NLP, and Machine Learning
- Expertise in Clustering Algorithms such as DBSCAN, K-Means, etc.
- Knowledge in Cross-Modality Knowledge
- Understanding of Transformer-based Language Models for textual embedding
- Experience with Computer Vision Models for image embedding or feature extraction
- Skills in High Dimensional Vector Visualizations using PCA, TSNE
- Ability to run experiments scientifically and analyze results
Good to Have
- Knowledge of Autoencoders, Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), Principal Component Analysis (PCA), K-Means, DBSCAN, medoid algorithms, and Fisher Discriminant Analysis (FDA)
What You Will Do
- Understand complex business problems and translate them into machine learning problems
- Design and develop scalable solutions using machine learning and deep learning models to meet enterprise requirements
- Collaborate with development teams to test and deploy machine learning models
- Create metrics to continuously evaluate the performance of machine learning solutions
- Stay updated with new tools, algorithms, and techniques in machine learning and AI, and implement them in the organization
