Machine Learning Intern
6 months ago
**About us**:
We have two business divisions: product and consulting.
- simulationHub is our flagship product and the manifestation of our vision. Currently, thousands of users use our CFD app in their upfront design process.
Our 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 list of companies, in achieving digital supremacy.
We 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.
**Duration Of Internship: 4 Months
**Responsibilities**:
- Collaborate with our team of 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.
- Utilize deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face for developing advanced neural network architectures.
- Work on computer vision tasks such as image processing, object detection, and tracking to extract meaningful insights from visual data.
- 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 and 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.
- 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, LLM.
- Hands-on with one of the below deep learning domain:
Computer Vision tasks: image processing, OCR, object detection and tracking.
NLP tasks: text classification, summarization, similarity analysis, 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 below:
Participated in Kaggle or any ML hackathons.
Exposure to ML cloud service on AWS/Azure/GCP.
Explored Langchain, LlamaIndex, Vector stores.
**Job Information**:
Industry
- IT Services
Work Experience
- 2 Years
City
- Pune City
State/Province
- Maharashtra
Country
- India
Zip/Postal Code
- 411057
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