Machine Learning Intern

TO GET TIMELY UPDATES ON JOB OPENINGS, FEEL FREE TO JOIN OUR COMMUNITY @ https://www.industryacademiacommunity.com (4L+ MEMBERS FROM 35+ COUNTRIES)

Job Overview:

Looking for a passionate and motivated individual to join our team as a Machine Learning Intern. As a Machine Learning Intern, you will work closely with our data science team to develop, implement, and evaluate machine learning models. You will have the opportunity to gain hands-on experience in various aspects of machine learning, including data preprocessing, feature engineering, model training, and evaluation. This internship is an excellent opportunity for individuals looking to apply their theoretical knowledge in a real-world setting and gain valuable industry experience.

Whats For The Candidate:

• Competitive salary based on experience.
• Opportunities for professional development and career growth.
• A collaborative and dynamic work environment.

Responsibilities:

Collaborate with the data science team to understand project requirements and objectives

Assist in collecting, preprocessing, and analyzing data for machine learning tasks

Implement machine learning algorithms and models using appropriate libraries and frameworks

Conduct experiments to evaluate the performance of machine learning models and algorithms

Work on feature engineering and selection to improve model performance and generalization

Participate in brainstorming sessions and contribute ideas for new machine learning projects and initiatives

Document your work, including code, experiments, and findings, in a clear and organized manner

Stay updated on the latest advancements and best practices in machine learning and related fields

Communicate effectively with team members and stakeholders to provide updates on progress and results

Mandatory Requirements:

Currently pursuing a Diploma or a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

Strong foundation in machine learning concepts and algorithms.

Proficiency in at least one programming language commonly used in machine learning, such as Python or R

Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras

Familiarity with data manipulation and analysis tools, such as pandas, NumPy, or MATLAB

Good understanding of statistics and probability theory

Preferred Requirements:

Prior experience with projects or coursework related to machine learning

Qualities:

Excellent problem-solving skills and attention to detail

Ability to work independently and in a team environment

Strong communication and interpersonal skills

Job Location: Remote/Hybrid/In-Office

Note: To accomplish our vision, our Flagship Event 'IAC VISION 2030' would provide employment and career opportunities for millions of job-ready interns, freshers and professionals in our Industry Academia Community (IAC).

By submitting your application you accept the Terms and Conditions.