Machine Learning Internship
2 weeks ago
As a Machine Learning Intern for our SaaS (Software as a Service) business, you will be an integral part of our Avataryug dynamic team, contributing to the development and enhancement of our machine learning algorithms and models. You will have the opportunity to work on real-world problems, leveraging data to drive insights and improve the performance of our products. This internship offers a unique opportunity to gain hands-on experience in the fast-paced world of SaaS and machine learning.
**Responsibilities**:
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to understand business requirements and translate them into machine learning solutions.
- Develop, implement, and evaluate machine learning models and algorithms to solve specific business problems such as user behavior prediction, recommendation systems, churn analysis, and sentiment analysis.
- Conduct exploratory data analysis to understand data characteristics, identify patterns, and extract meaningful insights.
- Clean, preprocess, and transform raw data to make it suitable for modeling purposes.
- Perform feature engineering to extract relevant features from the data that can enhance model performance.
- Train, validate, and fine-tune machine learning models using various techniques such as cross-validation, hyperparameter tuning, and ensemble methods.
- Evaluate model performance using appropriate metrics and iterate on model designs to improve results.
- Deploy machine learning models into production environments and monitor their performance over time.
- Stay updated with the latest advancements in machine learning and contribute to the adoption of new techniques and technologies within the team.
- Document work processes, methodologies, and findings to facilitate knowledge sharing and collaboration.
**Requirements**:
- Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, Machine Learning, or a related field.
- Strong understanding of machine learning algorithms and concepts such as supervised learning, unsupervised learning, and deep learning.
- Proficiency in at least one programming language commonly used in machine learning such as Python, along with libraries like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with data manipulation and analysis using tools such as pandas, NumPy, or MATLAB.
- Excellent problem-solving skills and the ability to think critically and analytically.
- Strong communication and collaboration skills with the ability to work effectively in a team environment.
- Prior experience with SaaS products or cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) is a plus.
- Demonstrated ability to learn quickly and adapt to new technologies and methodologies.
- A proactive and self-motivated attitude with a desire to make meaningful contributions to the team.
This internship offers an exciting opportunity to gain practical experience in machine learning while working in a dynamic and innovative SaaS environment. If you are passionate about leveraging data to drive business insights and eager to contribute to the development of cutting-edge solutions, we encourage you to apply.
**Salary**: ₹10,000.00 per month
Schedule:
- Day shift
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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