Software Development Intern & Machine Learning Intern

WFO

Program Overview

We are seeking enthusiastic and motivated college graduates to join our team as Software Interns. The ideal candidates will have a solid foundation either in Data Structures and Algorithms or in Machine Learning. Candidates must be proficient in any one of the programming languages such as Java, Python, C/C++, Node.js, or React. This role offers an excellent opportunity to work on cutting-edge projects and develop skills in a dynamic and supportive environment.

Software Development Intern

Key Responsibilities:
Develop and maintain software applications, working on both front-end and back-end tasks

Write clean, efficient, and well-documented code in Java, Python, C/C++, Node.js, or React

Integrate and work with APIs and various libraries and frameworks

Optimize code using strong knowledge of Data Structures and Algorithms

Participate in testing, debugging, and deployment of applications

Collaborate with senior developers on system design and architecture

Required Skills:
Proficiency in Java, Python, C/C++, Node.js, or React with hands-on coding experience

Strong grasp of Data Structures and Algorithms

Experience with APIs and familiarity with relevant libraries and frameworks

Basic understanding of web development (HTML, CSS, JavaScript)

Familiarity with version control (Git) and databases (SQL)

Strong problem-solving and teamwork skills with ability to adapt to new technologies

Machine Learning Intern

Key Responsibilities:
Assist in developing and implementing machine learning models with hands-on approach

Preprocess data, perform feature engineering, and build predictive models

Utilize APIs, libraries (TensorFlow, PyTorch, Scikit-learn), and frameworks effectively in ML projects

Work on computer vision tasks using libraries such as OpenCV, TensorFlow, or PyTorch

Explore and implement generative AI models using frameworks like GPT, GANs, or DALL-E

Optimize machine learning models using strong Data Structures and Algorithms knowledge

Analyze datasets to extract insights and participate in model evaluation

Collaborate with data scientists on various ML projects including vision and generative AI

Required Skills:
Proficiency in Python with hands-on experience in ML libraries (TensorFlow, PyTorch, Scikit-learn)

Strong grasp of Data Structures and Algorithms

Knowledge of APIs and experience with libraries and frameworks for vision (OpenCV, TensorFlow) and generative AI (GPT, GANs)

Experience with data preprocessing and working with large datasets

Basic understanding of machine learning concepts (classification, regression, neural networks)

Strong analytical and teamwork skills with ability to adapt to new technologies

Preferred Qualifications:
Knowledge of version control systems like Git

Basic understanding of web development frameworks and Python Notebooks

Familiarity with Cloud Providers and their ML services (DialogueFlow, AzureAI, Gemini, Copilot, etc.)