Machine Learning Intern

ThinkNovaa; United States; Remote; USD 700 - 1,200; Full time

Job summary

ThinkNovaa offers a three-month remote internship for aspiring ML and data science enthusiasts. The role centers on hands-on data work, model development, and experimentation across real datasets.

You will clean data, validate datasets, explore features, train and test models, and coordinate with remote contributors. Freshers with basic Python, statistics, and ML concepts are welcome; familiarity with Pandas, NumPy, and scikit-learn is a plus, as well as clear communication and deadline

Qualifications

• Freshers may apply.
• Basic Python, statistics and machine-learning concepts are required.
• Pandas, NumPy and scikit-learn are advantageous rather than compulsory.
• Demonstrate careful reasoning, problem-solving and willingness to learn.
• Written and spoken communication and deadline management are expected.

Responsibilities

• Clean and validate datasets for model development.
• Explore patterns, relationships and useful predictive features.
• Help train and test models with appropriate algorithms.
• Compare performance using relevant measurements and improve models through experiments.
• Record data preparation, modelling choices and results.
• Coordinate deliverables with other remote contributors.

Skills

Freshers

Python basics

Statistics basics

ML concepts

Willingness to learn

Communication

Deadline management

Tools

Pandas

NumPy

scikit-learn

Job description

About the role:

• The three-month remote internship offers a performance-dependent amount up to ₹10,000.

What you'll work on:

• Clean and validate datasets for model development.
• Explore patterns, relationships and useful predictive features.
• Help train and test models with appropriate algorithms.
• Compare performance using relevant measurements and improve models through experiments.
• Record data preparation, modelling choices and results.
• Coordinate deliverables with other remote contributors.

What we're looking for:

• Freshers interested in ML, AI or data science may apply.
• Basic Python, statistics and machine-learning concepts are requested.
• Pandas, NumPy and scikit-learn are advantageous rather than compulsory.
• Demonstrate careful reasoning, problem-solving and willingness to learn.
• Written and spoken communication and responsible deadline management are expected.

Good to know:

• The post describes this as a paid remote internship, with the actual amount linked to performance.