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Mumbai, India
2026-06-11
Newvision Softcom & Consultancy Pvt. Ltd
South Asia
Intern - Data & AI
Role Description
Data And AIPune
Posted On
11 Jun 2026
End Date
11 Jun 2026
Required Experience
0 - 1 Years
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**Basic Section**
-----------------
Grade
Role
Intern
Employment Type
Interns
Employee Category
**Organisational**
------------------
Group Company
NewVison
Company Name
New Vision Softcom \& Consultancy Pvt. Ltd
Function
Business Units (BU)
Department/Practice
Data And AI
Organization Unit
Data Science
Region
APAC
Country
India
Base Office Location
Pune
Working Model
Hybrid
Weekly Off
Pune Office Standard
State
Maharashtra
**Skills**
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Skill
PROBLEM SOLVING SKILLS
LEADERSHIP AND COMMUNICATION SKILLS
AGILE METHODOLOGIES
MACHINE LEARNING
DATA SCIENCE - ML
DATA SCIENCE
Highest Education
GRADUATION/EQUIVALENT COURSE
CERTIFICATION
SAFE CERTIFIED
Working Language
ENGLISH
**Job Description**
-------------------
**Machine Learning Intern – Data \& AI Practice**
**Job Title**
Machine Learning Intern
**Department**
Data \& AI Practice
**Location**
[Pune / Remote / Hybrid]
**Duration**
3–6 Months (Extendable based on performance)
**Role Overview**
We are looking for a highly motivated Machine Learning Intern to join our Data \& AI Practice. The intern will work closely with Data Scientists, AI Engineers, and Solution Architects to develop, test, and deploy machine learning models and AI-driven solutions. This role provides an excellent opportunity to gain hands-on experience with real-world datasets, modern AI technologies, and enterprise-scale data platforms.
**Key Responsibilities**
* Assist in data collection, cleansing, preprocessing, and exploratory data analysis.
* Develop and evaluate machine learning models for classification, regression, clustering, and forecasting use cases.
* Support the implementation of Generative AI and Large Language Model (LLM) solutions.
* Work with structured and unstructured datasets to derive actionable insights.
* Perform feature engineering and model optimization activities.
* Create data visualizations and dashboards to communicate findings effectively.
* Collaborate with project teams to understand business requirements and translate them into AI/ML solutions.
* Participate in model testing, validation, and performance monitoring.
* Document methodologies, experiments, and project outcomes.
* Stay updated with emerging trends and advancements in AI, Machine Learning, and Data Science.
**Required Qualifications**
* Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Information Technology, or a related field.
* Strong understanding of Machine Learning fundamentals and statistics.
* Knowledge of Python programming.
* Familiarity with data manipulation libraries such as Pandas and NumPy.
* Basic understanding of machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
* Understanding of SQL and database concepts.
* Good analytical and problem-solving skills.
* Strong communication and teamwork abilities.
**Preferred Skills**
* Exposure to Generative AI, LLMs, Prompt Engineering, or Retrieval-Augmented Generation (RAG).
* Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services AWS, or Google Cloud Google Cloud.
* Experience with data visualization tools such as Power BI or Tableau.
* Knowledge of Databricks, Spark, or MLOps concepts.
* Experience with Git version control.
**Learning Opportunities**
* Work on real-world AI and Machine Learning projects.
* Gain exposure to enterprise Data Engineering and AI platforms.
* Learn from experienced Data Scientists and AI Architects.
* Participate in innovation initiatives, PoCs, and AI accelerators.
* Build expertise in modern AI technologies, including GenAI and Agentic AI solutions.
**Success Criteria**
* Ability to independently analyze datasets and build basic ML models.
* Demonstrate strong learning agility and problem-solving skills.
* Deliver assigned tasks within agreed timelines and quality standards.
* Contribute innovative ideas to ongoing AI initiatives.