Job Description – Python / AI-ML Developer Intern (Fresher)
Job Title: Python / AI-ML Developer Intern
Experience: Fresher (0–1 Year)
Job Location: Bangalore, Karnataka
Employment Type: Internship
Internship Duration: 3–6 Months (Depending on Company Requirements)
Qualification: B.E./B.Tech/BCA/MCA/B.Sc./M.Sc. in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related field
Job Summary
We are looking for a motivated and enthusiastic Python / AI-ML Developer Intern (Fresher) to join our technology and development team. The ideal candidate should have a basic understanding of Python programming, machine learning concepts, data analysis, and artificial intelligence technologies.
The candidate will work closely with experienced developers and data scientists to develop, test, and optimize Python-based applications and AI/ML models while gaining hands-on experience in real-world projects.
Key Responsibilities
Assist in developing and maintaining Python-based applications and scripts.
Support the development, training, testing, and evaluation of machine learning models.
Collect, clean, preprocess, and analyze structured and unstructured datasets.
Work with Python libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib.
Assist in implementing machine learning algorithms for classification, regression, and prediction.
Support AI-based automation and data processing tasks.
Collaborate with developers and data scientists to integrate AI/ML models into applications.
Assist in developing RESTful APIs using Flask or FastAPI.
Perform exploratory data analysis (EDA) and data visualization.
Identify and troubleshoot errors in Python code and machine learning workflows.
Participate in model evaluation and performance optimization.
Maintain technical documentation for Python applications and ML experiments.
Use Git and GitHub for version control and collaboration.
Research emerging AI/ML technologies and development techniques.
Participate in team discussions, code reviews, and project development activities.
Required Skills
Basic knowledge of Python programming.
Understanding of object-oriented programming (OOP) concepts.
Familiarity with Python libraries such as NumPy and Pandas.
Basic understanding of machine learning algorithms and concepts.
Knowledge of data structures and algorithms.
Understanding of data preprocessing and data cleaning techniques.
Basic knowledge of SQL and database concepts.
Familiarity with Scikit-learn or similar machine learning libraries.
Basic understanding of statistics, probability, and linear algebra.
Knowledge of Git and GitHub.
Strong analytical and problem-solving abilities.
Good communication and teamwork skills.
Willingness to learn new AI/ML technologies and frameworks.
Preferred Skills
Familiarity with TensorFlow, PyTorch, or Keras.
Basic understanding of deep learning and neural networks.
Knowledge of Natural Language Processing (NLP) concepts.
Familiarity with Generative AI and Large Language Models (LLMs).
Basic understanding of prompt engineering and AI model integration.
Knowledge of Flask, Django, or FastAPI.
Familiarity with Jupyter Notebook or Google Colab.
Understanding of REST APIs and JSON.
Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with data visualization tools and libraries.
Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
Experience with academic or personal AI/ML projects.
Eligibility Criteria
Fresh graduates or final-year students pursuing B.E., B.Tech, BCA, MCA, B.Sc., or M.Sc. in Computer Science, IT, AI, ML, Data Science, or related disciplines.
0–1 year of experience.
Basic understanding of Python programming and machine learning concepts.
Strong interest in artificial intelligence, machine learning, and software development.
Good analytical and logical reasoning skills.
Ability to work independently and collaboratively.
Freshers with academic projects,…