Python Job: Artificial Intelligence -Machine Learning Internsh

Job added on

Company

Budhana Tech, LLP
India

Location

Remote Position
(From Everywhere/No Office Location)

Job type

Full-Time

Python Job Details

AI/ML Intern
We are seeking a highly motivated individual to join our team as an AI/ML Intern with Django knowledge. In this role, you will be responsible for working on AI/ML projects as well as assisting with the development and maintenance of web applications using Django.

Responsibilities:

  • Collaborate with engineers to conduct research, data analysis, and model development
  • Test and validate AI/ML models to ensure their accuracy and effectiveness
  • Collaborate with the development team to integrate AI/ML models into products
  • Develop minimum viable products based on machine learning
  • Transform the machine learning models into APIs that other applications can interact with
  • Come up with improvements to machine-learning algorithms
  • Utilize modern software development methodologies, and deploy software in production
  • Work on advanced coding in various languages
  • Coordinate with multiple teams internally and externally
  • Conduct statistical analysis and interpret the results essential in the decision-making process for the organization
  • Automate important infrastructure for the data science team
  • Develop infrastructure for data transformation and ingestion
  • Document all development activities and ensure that code is maintainable, scalable, and secure

Requirements:

1. Knowledge of programming languages, preferably Python & R is necessary
2. Domain knowledge in mathematics and statistics, linear algebra, and calculus is required
3. Understand various frameworks and libraries such as Tensor Flow, SciPy, NumPy, scikit-learn, and Apache Spark

Benefits:

  • Hands-on experience in AI/ML projects
  • Opportunity to work with experienced professionals in the field
  • Exposure to the latest technologies and industry trends

Job Type: Full-time

Salary: ₹7,000.00 per month

Schedule:

  • Morning shift