Machine Learning

6 months ago

Gurugram Haryana, India Podtech IO Full time

Full Time
- Cybercity, Gurugram (WFO)

**Podtech** is a leading software development company with a comprehensive suite of services and a 20-year track record of success. We help enterprises around the world transform their businesses by creating effective digital solutions with cutting-edge technologies.

**About the Role**:
We are searching for a talented and motivated Machine Learning Intern to join our team and focus on object detection projects. You will be responsible for the entire machine learning pipeline, from data preprocessing and feature engineering to model development and deployment.

**Responsibilities**:

- Collaborate with engineers and data scientists to define project requirements and develop machine learning solutions for object detection tasks.
- Preprocess and clean datasets for object detection models.
- Develop, train, and evaluate machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn.
- Implement techniques for feature engineering to improve model performance.
- Leverage experience with image annotation tools to label datasets with bounding boxes or segmentation masks.
- Utilize Git for version control and collaboration.
- Document your work clearly and concisely.

**Qualifications**:

- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- Strong programming skills in Python.
- Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
- Understanding of data preprocessing techniques and feature engineering.
- Prior coursework or projects in object detection is a plus.
- Familiarity with version control systems like Git.
- Experience with image annotation tools and techniques for labeling datasets.

**Benefits**:

- Competitive salary and benefits package.
- Opportunity to work on challenging and impactful projects.
- Collaborative and supportive work environment.
- Continuous learning and development opportunities.

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