Metricoid Technology is hiring for Machine Learning Intern. For full details and apply link, follow below.
Machine Learning Internhip
- Position: Machine Learning Intern
- Location: Mumbai, India
- Qualification: Bachelor’s or Master’s Degree
- Batch: Any
- Experience: Fresher
- Salary: Min 20K Per Month (Expected)
- Last Date: As soon as Possible
Description:
Are you interested in using your machine learning expertise to tackle issues and challenges in the real world? Do you want to work on cutting-edge projects and learn from skilled machine learning engineers? If so, you might be the ideal candidate for our company’s machine learning intern position.
We are searching for a machine learning intern who will work with us to create and enhance our machine learning solutions. Data gathering, data analysis, model creation, model testing, and model deployment are just a few of the things you’ll be working on. Additionally, you will get the chance to learn about cutting-edge machine learning-related techniques and technologies.
Eligibility Criteria:
- A thorough knowledge of machine learning’s foundational concepts, including linear algebra, calculus, probability, statistics, optimisation, etc.
- A command of the Python programming language
- A working knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.
- A working knowledge of popular tools for data analysis and visualisation, such as Pandas, NumPy, Matplotlib, or Seaborn.
- Curiosity and a desire to learn new things and tackle difficult situations.
- Effective teamwork and communication abilities.
Responsibilities:
- Utilise a variety of methods and tools to do data preprocessing, feature engineering, and feature selection.
- Using supervised, unsupervised, or semi-supervised learning techniques, develop, train, and assess machine learning models.
- To build machine learning algorithms, use pre-existing frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.
- Improve the efficiency and precision of machine learning models by applying strategies like cross-validation, regularisation, and hyperparameter tuning.
- Utilising cloud computing platforms like AWS, Azure, or Google Cloud, deploy and oversee machine learning models in production.
- Work together to deliver the best solutions by collaborating and communicating with other team members and stakeholders to understand the business requirements.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.