This is a remote position.
We are hiring smart, analytical freshers and early‑career engineers for a Junior AI & Data Engineer role. This is a developmental position focused on building strong fundamentals in Data Science, Machine Learning, and Data Engineering.
You will support real‑world AI/ML initiatives and data pipelines under the mentorship of senior engineers and data scientists.
Key Responsibilities
Assist in data collection, cleaning, transformation, and analysis for AI/ML projects
Write clean and efficient Python code for ETL pipelines and feature engineering
Support development of basic ML models (regression, classification, clustering) under guidance
Create dashboards, reports, and visualizations for data insights
Document workflows, pipelines, and learnings
Learn and apply SQL best practices and cloud fundamentals (AWS/GCP/Azure)
Requirements
Strong Python skills (pandas, NumPy, basic scikit‑learn)
Good understanding of Statistics (mean, variance, correlation, regression)
Basic knowledge of Linear Algebra (vectors, matrices)
Exposure to SQL and relational databases
Strong logical and analytical thinking
Willingness to learn Machine Learning, MLOps, and Data Engineering
Ability to work in a fast‑paced, Agile environment
Good to Have / Preferred Skills
Exposure to cloud platforms (AWS, GCP, Azure)
Experience with ML models or Kaggle competitions
Familiarity with Jupyter Notebooks and basic REST APIs
Strong interest in mathematics + programming + problem‑solving
Soft Skills
Curiosity and eagerness to learn
Ownership and accountability
Ability to take feedback and improve rapidly
Clear communication and teamwork
Structured problem‑solving mindset
Benefits
Competitive compensation as per industry standards
Strong mentorship‑driven learning environment
Hands‑on exposure to enterprise AI & data problems
Clear growth path toward AI Engineer, ML Engineer, or Data Engineer roles
Collaborative, global, innovation‑focused culture