Omni Reac - Junior AI & Data Engineer - Python/SQL

About The Role

We are seeking highly motivated and analytical early-career engineers who are passionate about data, artificial intelligence, and problem-solving.As a Junior AI & Data Engineer, you will gain hands-on experience working with real-world datasets, supporting AI/ML model development, and building scalable data pipelines.This role provides an opportunity to learn directly from experienced Data Scientists and AI Engineers, laying a strong foundation in Data Science, Machine Learning, and Data Engineering practices.

Key Responsibilities

• Assist in data acquisition, cleansing, transformation, and feature engineering to prepare datasets for machine learning and analytics projects.
• Develop and maintain Python-based ETL scripts for data extraction and processing using libraries such as pandas, NumPy, and scikit-learn.
• Support the development, training, and validation of supervised and unsupervised ML models (e.g., regression, classification, clustering).
• Build data visualizations and dashboards to communicate trends and insights using tools like Power BI, Tableau, or matplotlib.
• Work collaboratively with senior engineers to design and implement scalable data pipelines on cloud environments (AWS, GCP, or Azure).
• Participate in code reviews, documentation, and version control (Git) to maintain development standards and reproducibility.
• Continuously learn and apply emerging practices in AI model deployment, MLOps, and Data Engineering.
  

Required Skills & Qualifications

• Programming: Strong proficiency in Python with experience using data libraries such as pandas, NumPy, and scikit-learn.
• Data & Statistics: Solid understanding of descriptive statistics, probability, correlation, and linear algebra fundamentals.
• Databases: Basic knowledge of SQL and relational database concepts.
• Analytical Thinking: Strong logical reasoning, problem-solving, and mathematical aptitude.
• Version Control: Basic familiarity with Git/GitHub workflows.
• Eagerness to learn and adapt to AI, Machine Learning, and MLOps technologies in a fast-paced environment.
  

Preferred Skills (Good To Have)

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with data visualization or exploratory analysis (Tableau, Power BI, matplotlib, seaborn).
• Familiarity with REST APIs, Jupyter Notebooks, and scripting for automation.
• Participation in Kaggle competitions, academic AI projects, or open-source data projects.
• Passion for mathematics, data-driven problem solving, and continuous learning.
  

(ref:hirist.tech)