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Junior AI & Data Engineer

Junior AI & Data Engineer

Omni ReachAhmedabad, IN
23 days ago
Job description

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.

________________________________________

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.
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