AI ML Intern

Skills:
Machine Learning, Python, Data Analysis, Statistical Modeling, Deep Learning, Natural Language Processing, TensorFlow, Data Visualization,
Job Overview
The AI ML Intern position at TwiLearn is an exciting opportunity for freshers looking to delve into the world of artificial intelligence and machine learning. This remote internship allows candidates to work from major cities such as Pune, Mumbai, Bangalore, Noida, Gurgaon, Kolkata, and Hyderabad. As a fresher-level position, applicants with 0 years of experience are welcome to apply and gain industry-grade knowledge while working on real-world projects.
Qualifications And Skills

• Demonstrated ability to apply machine learning algorithms to practical problems (Mandatory skill).
• Proficiency in Python for data analysis and model development, a necessary tool in the AI ML toolkit (Mandatory skill).
• 
  Fundamental understanding of deep learning frameworks and implementing deep networks (Mandatory skill).
• Strong ability in performing data analysis to extract meaningful insights from complex data sets.
• Experience or education in statistical modeling for developing predictive equations and understanding trends.
• Knowledge in natural language processing to process and analyze large amounts of natural language data.
• Experience with TensorFlow or similar frameworks for developing machine learning and deep learning models.
• Ability to create effective visualisations to represent data findings through data visualization tools.
  

Roles And Responsibilities

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Assist in designing, developing, and deploying machine learning models for real-world applications.
• Collaborate with team members to identify areas of improvement in AI algorithmic and statistical models.
• Engage in the full cycle of data analytics, from data extraction, cleaning, and exploratory analysis.
• Contribute to the development of AI solutions for practical business problems faced by the company.
• Collaborate with software developers and data scientists to integrate models into production-grade software.
• Document methods and processes for communicating findings and ongoing project management.
• Stay updated with the latest advancements in the AI ML domain to bring innovative ideas to the team.
• Participate in knowledge-sharing sessions and offer insights into ways to improve company practices.