AI/ML Intern

NexiBox Technologies Pvt. Ltd.; Bengaluru; On-site; INR 57,000 - 77,000; Part time

Job summary

NexiBox Technologies Pvt. Ltd. in Bengaluru is seeking an AI/ML Intern to join the core tech team. You will work with senior engineers to design, deploy, and scale ML models that impact our platform.

The role focuses on data pipeline management, model development, performance optimization, and system integration, with a stipend of ₹6,000 per month for a 3–6 month internship. You will gain hands-on experience in Python, ML frameworks, and model deployment within cloud environments.

Qualifications

• Strong programming in Python and its scientific stack (NumPy, Pandas, Scikit-Learn).
• Hands-on experience with DL frameworks like PyTorch or TensorFlow.
• Solid grasp of linear algebra, statistics, and probability.
• Familiarity with data visualization tools (Matplotlib, Seaborn).
• Preferred: GenAI workflows, Prompt Engineering, LLM APIs.

Responsibilities

• Data Pipeline Management: collect, clean, preprocess, and label unstructured data.
• Model Development: implement, test, and fine-tune ML/DL models for tasks.
• Performance Optimization: analyze metrics, debug bottlenecks, optimize for accuracy/latency.
• System Integration: deploy models into cloud environments and production APIs.
• Research & Innovation: stay updated on AI/ML tools and models.

Skills

Python

NumPy

Pandas

Scikit-Learn

PyTorch

TensorFlow

Tools

OpenAI API

Hugging Face

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-orientedAI/ML Intern to join our core tech team. If you arepassionate about building intelligent systems, training smart models,and turning complex datasets into actionable insights, this role isfor you. You will work closely with senior engineers to design,deploy, and scale machine learning models that directly impact ourplatform.

Key Responsibilities

• Data Pipeline Management:Assist in collecting, cleaning, preprocessing, and labelingunstructured datasets.
• Model Development:Implement, test, and fine-tune machine learning and deep learningmodels for classification, regression, or NLP tasks.
• Performance Optimization:Analyze model metrics, debug bottlenecks, and optimize algorithmsfor high accuracy and low latency.
• System Integration:Collaborate with backend developers to deploy models into cloudenvironments 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 inPython and its scientific ecosystem(NumPy, Pandas, Scikit-Learn).
• Hands-on experience or academic projects using deep learningframeworks like PyTorch orTensorFlow.
• A solid grasp of core mathematical concepts including linearalgebra, 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).