Ml Intern

Description:

Evoastra Ventures is Hiring | AI/ML Intern

About Evoastra

Evoastra Ventures (OPC) Pvt. Ltd. specializes in delivering advanced research, data-driven insights, and AI-based solutions to help organizations unlock new opportunities and achieve sustainable growth. Our expertise spans Data Science, Machine Learning, Predictive Analytics, Market Research, Consumer Insights, and Technology Research.

We are now inviting motivated and detail-oriented individuals to join our AI/ML team and gain hands-on experience in real-world data-driven projects.

Position: AI/ML Intern

Type: Unpaid Internship

Duration: 6 Months (Contract Basis)

Job Overview

We are seeking passionate AI/ML enthusiasts eager to apply theoretical knowledge to practical challenges. As an intern, you will contribute to multiple data science and machine learning projects, working closely with our research and analytics teams to build, train, and optimize AI models that deliver business impact.

Key Responsibilities

• Assist in building, training, and deploying machine learning models.
• Work on data cleaning, preprocessing, and feature engineering.
• Research and implement the latest AI/ML algorithms and frameworks.
• Collaborate with the data science team to interpret model results.
• Analyze datasets using Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.
• Document research findings, model outcomes, and project reports.
• Contribute to ongoing research projects and proof-of-concept models.

Requirements

• Minimum Diploma or bachelor’s degree in computer science, AI/ML, or a related field.
• Strong understanding of Python, Machine Learning, and Statistical Concepts.
• Familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong analytical, communication, and problem-solving skills.
• Ability to work independently under minimal supervision.
• Organized, detail-oriented, and eager to learn emerging AI technologies.

Preferred Skills

• Knowledge of Deep Learning architectures such as CNN, RNN, and LSTM.
• Understanding of data visualization tools such as Power BI, Tableau, or Matplotlib.
• Experience with Git/GitHub, Jupyter Notebooks, or Google Colab.
• Prior academic or professional project experience in AI/ML, data analysis, or predictive modeling.

Benefits

• Certificate of Experience and Letter of Recommendation upon completion.
• Mentorship and guidance from AI/ML professionals.
• Opportunity to work on live business research and AI-based projects.
• Career growth opportunities in data science and research analytics.
• A collaborative, supportive, and remote-friendly work culture.