Internships

Machine Learning Intern at CCTech, Pune [4 Months; Stipend Available]: Apply Now!

Apoorva

Apr 19, 2024
3 min read

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Online applications are invited for the Machine Learning Intern at CCTech, Pune. Check the eligibility and other details below!

About CCTech Pune

CCTech’s mission is to transform human life through the democratization of technology. We are a well-established digital transformation company building applications in CAD, CFD, Artificial Intelligence, Machine Learning, 3D web apps, Augmented Reality, Digital Twin, and other enterprise applications.

They have two business divisions: product and consulting.

SimulationHub is their flagship product and the manifestation of our vision. Thousands of users currently use our CFD app in their upfront design process.
The consulting division, with its partners such as Autodesk Forge, AWS and Azure, is helping the world’s leading engineering organizations, many of which are Fortune 500 companies, achieve digital supremacy.

Job Description

They are currently seeking a motivated and passionate individual to join our team as a Machine Learning Intern. This internship offers a unique opportunity to work closely with experienced data scientists and engineers in a dynamic and innovative environment. As an ML intern, you will have the chance to contribute to cutting-edge projects, gain hands-on experience with state-of-the-art machine learning techniques, and collaborate with cross-functional teams to solve real-world challenges.

Responsibilities

Collaborate with our data scientists and engineers to develop and deploy machine learning models and algorithms.
Implement and evaluate various machine learning techniques, including supervised and unsupervised learning methods, for solving real-world problems.
Conduct data preprocessing, feature engineering, and model evaluation to ensure the accuracy and robustness of machine learning models.
Use deep learning frameworks like PyTorch, TensorFlow, and Hugging Face to develop advanced neural network architectures.
Work on computer vision tasks such as image processing, object detection, and tracking to extract meaningful insights from visual data.
Apply natural language processing techniques for text classification, natural language understanding (NLU), summarization, and similarity analysis.
Collaborate with cross-functional teams to integrate machine learning solutions into existing products and services.
Document and communicate technical concepts and findings effectively to both technical and non-technical stakeholders.

Requirements

Python programming language is good with libraries like matplotlib, seaborn, pandas, and NumPy.
Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
Hands-on experience with machine learning algorithms for supervised and unsupervised learning tasks.
A solid foundation of statistical concepts, including inferential statistics, hypothesis testing, and probability distributions.
Strong understanding of Linear Algebra & Calculus.
Knowledge of deep learning architectures like ANN, CNN, Transformers, and LLM.

Experience

Hands-on with one of the below deep learning domains:
- Computer Vision tasks: image processing, OCR, object detection and tracking.
- NLP tasks: text classification, summarization, similarity analysis, and text generation.
- Strong research skills with the ability to critically analyze scientific papers and literature related to machine learning and AI.
Good to have experience with the following:
- Participated in Kaggle or any ML hackathons.
- Exposure to ML cloud service on AWS/Azure/GCP.
- Explored Langchain, LlamaIndex, and Vector stores.