Data Scientist (Fresher 1 Year Experience) Job Description
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 :
Qualifications
- Bachelors degree in Computer Science Engineering IT / Computer.
- 01 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.
Remote Work :
No
Employment Type :
Full-time
Data Scientist (Fresher 1 Year Experience) Job DescriptionAbout the RoleWe 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 persona...
Data Scientist (Fresher 1 Year Experience) Job Description
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 :
Qualifications
- Bachelors degree in Computer Science Engineering IT / Computer.
- 01 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.
Remote Work :
No
Employment Type :
Full-time
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