AI/ML Intern

Nexibox Technologies Private Limited; Bengaluru; On-site; INR 57,000 - 77,000; Part time

Job summary

Nexibox Technologies Private Limited is seeking an AI/ML Intern to join our core tech team in Bengaluru. This role focuses on building intelligent systems, training models, and turning data into actionable insights under the guidance of senior engineers.

You will work on data pipelines, model development, and deployment to cloud environments, with a strong emphasis on learning and hands-on practice in a fast-paced setting.

Qualifications

• Strong programming skills in Python and scientific libraries.
• Hands-on or academic project experience with PyTorch or TensorFlow.
• Solid foundations in linear algebra, statistics and probability.
• Familiarity with data visualization tools like Matplotlib or Seaborn.
• Bonus: GenAI workflows, LLM APIs or computer vision experience.

Responsibilities

• Data pipeline management: collect, clean, label, and preprocess datasets.
• Model development: build, train, and fine-tune ML/DL models.
• Performance optimization: analyze metrics and optimize latency and accuracy.
• System integration: deploy models to cloud environments and production APIs.
• Research & innovation: stay updated with AI/ML advancements.

Skills

Python

NumPy

Pandas

Scikit-Learn

PyTorch

TensorFlow

Mathematics

Tools

OpenCV

Job description

• Department: Data Science
• Location: Work from Office (6 Days a Week)
• Employment Type: Internship (3-6 Months)
• Stipend: ₹6,000 / month

About the Role

We are looking for a driven, detail-oriented AI/ML Intern to join our core tech team. If you are passionate about building intelligent systems, training smart models, and turning complex datasets into actionable insights, this role is for you. You will work closely with senior engineers to design, deploy, and scale machine learning models that directly impact our platform.

Key Responsibilities

• Data Pipeline Management: Assist in collecting, cleaning, preprocessing, and labeling unstructured datasets.
• Model Development: Implement, test, and fine-tune machine learning and deep learning models for classification, regression, or NLP tasks.
• Performance Optimization: Analyze model metrics, debug bottlenecks, and optimize algorithms for high accuracy and low latency.
• System Integration: Collaborate with backend developers to deploy models into cloud environments and production APIs.
• Research & Innovation: Stay updated on the latest advancements in AI/ML tools, frameworks, and open-source models to improve existing systems.

Required Skills & Qualifications

• Strong foundational programming skills in Python and its scientific ecosystem (NumPy, Pandas, Scikit-Learn).
• Hands-on experience or academic projects using deep learning frameworks like PyTorch or TensorFlow.
• A solid grasp of core mathematical concepts including linear algebra, statistics, and probability.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
• Preferred (Bonus): Experience with GenAI workflows, Prompt Engineering, LLM APIs (OpenAI, Hugging Face), or computer vision (OpenCV).