AI/ML Intern Posted on April 1, 2026 Viman Nagar, Pune (Hybrid) SYN-INT-AML

Syniris; Pune District; Hybride; INR 167 400 - 279 000; Plein temps

Résumé du poste

A technology company in Pune offers an internship for aspiring AI/ML engineers. The role involves developing intelligent models for automation and analytics, with responsibilities like training machine learning models, data preprocessing, and collaborating with teams. Candidates should be pursuing a relevant B.Tech/B.E. degree and have hands-on experience with Python and data science libraries. This hybrid position enables the integration of AI/ML into applications.

Qualifications

• Currently pursuing a B.Tech/B.E. in AI/ML, Computer Science, Data Science, or a related field.
• Hands-on experience with Python and its data science libraries.
• Familiarity with deep learning frameworks.

Responsabilités

• Assist in developing, training, and deploying machine learning models.
• Perform data preprocessing, cleaning, and feature engineering.
• Collaborate with teams to integrate AI/ML features.
• Evaluate model performance and iterate for improvement.

Connaissances

Python

Data Science libraries (Pandas, NumPy, Scikit-learn)

Deep learning frameworks (TensorFlow, PyTorch)

Statistics

Formation

B.Tech/B.E. in AI/ML, Computer Science, Data Science

Description du poste

Pune, India (Hybrid) Internship Posted on January 5, 2026 SYN-INT-AML

Job Description

This is an exciting role for an aspiring AI/ML engineer to work on developing intelligent models for automation, personalization, and analytics. You will be involved in the end-to-end lifecycle of machine learning projects.

Responsibilities

• Assist in developing, training, and deploying machine learning models to solve real business problems.
• Perform data preprocessing, cleaning, and feature engineering to prepare datasets for modeling.
• Collaborate with product and engineering teams to integrate AI/ML features into our applications.
• Evaluate model performance and iterate to improve accuracy and efficiency.

Qualifications

• Currently pursuing a B.Tech/B.E. in AI/ML, Computer Science, Data Science, or a related quantitative field.
• Hands-on experience with Python and its data science libraries (Pandas, NumPy, Scikit-learn).
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Strong foundation in statistics, algorithms, and a keen interest in problem-solving.