Job Description

Data Scientist (Fresher - 1 Year Experience) --

About the Role

We are looking for a

junior Data Scientist

who is passionate about Machine Learning, AI, LLMs, analytics, and data engineering. The ideal candidate should have hands-on project experience (internships, academic projects, or personal projects) and the ability to learn quickly and contribute to production-level workflows.

This is a great opportunity for someone early in their career who wants to work on

ML models, data pipelines, AI automation, and dashboards

.

Responsibilities

Machine Learning & AI

Assist in building and training

ML models

(Regression, Random Forest, XGBoost, NLP models). Support development of

LLM fine-tuning workflows

with guidance. Work on

AI automation projects

and basic AI agent tasks. Help in model evaluation, testing, and performance documentation.

Data Engineering & Pipelines

Support data ingestion, preprocessing, and cleaning tasks. Help build and maintain

ETL pipelines

for structured/unstructured data. Work with senior team members on

MLOps tasks

using Git, Docker, MLFlow, etc.

Business Dashboards & Analytics

Create dashboards and reports using

Power BI or Tableau

. Assist teams with data extraction, SQL queries, and trend analysis. Convert raw data into actionable insights.

Cloud & Deployment

Learn and contribute to ML/AI deployments on

AWS or GCP

. Work with tools like

S3, EC2, Lambda, BigQuery, GKE

under supervision. Document deployment processes and improve automation scripts.

Collaboration & Learning

Work closely with senior engineers and product teams. Participate in brainstorming, design discussions, and code reviews. Continuously learn new ML and AI technologies.

Required Skills

Programming & ML

Python (strong understanding) Knowledge of ML algorithms (Regression, XGBoost, Random Forest, NLP, basic DL) Understanding of CNN/RNN is a plus Basic statistics and data visualization concepts

Tools

Jupyter/Colab Git & Linux basics MLFlow (basic knowledge or willingness to learn) Tableau / Power BI

Databases

SQL (MySQL preferred) Basic knowledge of MongoDB

Cloud

Exposure to AWS or GCP Basic understanding of APIs and deployments is a plus

Bonus (Not mandatory, but a strong plus)

Exposure to

LLM fine-tuning

Experience with

AI agents / automation tools

Internship projects with real-world data Small personal ML/AI projects on GitHub

Qualifications

Bachelor's degree in Computer Science, Engineering, IT / Computer. 0-1 year of industry experience OR good quality internship(s). Strong project/portfolio work in ML/AI.

Additional Information

Looking for a junior candidate with strong Python & ML fundamentals, interest in LLMs, ML pipelines, dashboards (Tableau/Power BI), SQL & AWS/GCP exposure.

Job Types: Full-time, Permanent, Fresher

Pay: ?300,000.00 - ?600,000.00 per year

Work Location: In person