Job Description
This is a remote position.
Role Overview
We are hiring smart, analytical freshers and early-career engineers passionate about data, mathematics, problem-solving, and building systems. This is a developmental role aimed at nurturing strong fundamentals in Data Science, Machine Learning, and Data Engineering over time. You will work on real-world data problems, assisting in building AI / ML solutions and data pipelines under the mentorship of senior engineers and scientists.
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Key Responsibilities
- Assist in data collection, cleaning, transformation, and analysis for machine learning projects.
- Write clean, efficient Python code for data preparation, ETL processes, and feature engineering.
- Support the development of basic ML models under guidance — starting with regression, classification, and clustering.
- Create dashboards, reports, or simple visualizations for data insights.
- Document workflows, processes, and learnings to build strong technical and analytical practices.
- Learn and apply cloud concepts (AWS / GCP / Azure basics) and SQL best practices over time.
Requirements
Required Skills
Strong Python programming skills : pandas, NumPy, basic scikit-learn.Good understanding of Statistics (mean, variance, correlation, regression) and Linear Algebra basics (vectors, matrices).Basic exposure to SQL and relational databases.Strong logical and analytical thinking skills.Willingness to learn Machine Learning, MLOps, and Data Engineering practices.Ability to work in a fast-paced, agile environment with minimal supervision.Preferred Skills (Nice to Have)
Exposure to cloud platforms (AWS, GCP, Azure).Experience with basic machine learning models or Kaggle competitions.Basic understanding of REST APIs, Jupyter Notebooks.Freshers who love mathematics + programming + problem-solving.