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AI Summary
Assist in data collection, cleaning, and the development of ETL pipelines and basic ML models. Create data visualizations and document workflows under the mentorship of senior engineers.
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
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