Artificial Intelligence (AI) Intern

Trinix Pvt. Ltd.; Bengaluru; On-site; INR 500,000 - 900,000; Full time

Benefits offered by this job

TensorFlow

PyTorch

Keras

NLP exposure

CV/Generative AI exposure

LLMs / Prompt engineering

Job summary

Trinix Pvt. Ltd. in Bengaluru is seeking a junior to entry-level AI/ML engineer to assist in designing, training, and evaluating machine learning and deep learning models.

You will work with both structured and unstructured data for analysis and preprocessing, implementing AI algorithms in Python and supporting feature development for real-world applications. The role involves literature reviews, model optimization, validation, and documentation of experiments and findings, with collaboration

Qualifications

• Strong foundation in Python programming.
• Basic understanding of Machine Learning concepts (supervised, unsupervised learning).
• Familiarity with AI libraries such as NumPy, Pandas, Scikit-learn.
• Basic understanding of statistics, probability, and linear algebra.
• Ability to analyze data and interpret model results.
• Strong problem-solving and analytical thinking skills.

Responsibilities

• Assist in designing, training, and evaluating machine learning and deep learning models.
• Work with structured and unstructured data for analysis and preprocessing.
• Implement AI algorithms using Python and relevant libraries.
• Support development of AI features for real-world applications.
• Conduct literature reviews and comparative studies on AI techniques.
• Assist in model optimization, validation, and performance analysis.
• Collaborate with developers and researchers to integrate AI models into systems.
• Document experiments, methodologies, and findings.

Skills

Python programming

ML concepts basics

Data analysis

Problem solving

Analytical thinking

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Keras

Job description

• Assist in designing, training, and evaluating machine learning and deep learning models
• Work with structured and unstructured data for analysis and preprocessing
• Implement AI algorithms using Python and relevant libraries
• Support development of AI features for real-world applications
• Conduct literature reviews and comparative studies on AI techniques
• Assist in model optimization, validation, and performance analysis
• Collaborate with developers and researchers to integrate AI models into systems
• Document experiments, methodologies, and findings

Responsibilities

Qualifications

• Strong foundation in Python programming
• Basic understanding of Machine Learning concepts (supervised, unsupervised learning)
• Familiarity with AI libraries such as NumPy, Pandas, Scikit-learn
• Basic understanding of statistics, probability, and linear algebra
• Ability to analyze data and interpret model results
• Strong problem-solving and analytical thinking skills

Preferred

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras)
• Exposure to NLP, Computer Vision, or Generative AI
• Familiarity with LLMs, prompt engineering, or fine-tuning
• Knowledge of data visualization tools
• Basic understanding of APIs and model deployment
• Experience with Git/GitHub and collaborative workflows