About this role
Description
Assist in designing, developing, and deploying AI/ML models for business use cases.
Support data preparation, including data cleaning, feature engineering, and dataset creation.
Work with senior engineers to build end‑to‑end ML pipelines and automate model workflows.
Collaborate with data engineers to ensure high‑quality, well‑structured data for AI workloads.
Help implement model monitoring, evaluation, and retraining processes.
Participate in developing Python-based AI utilities, scripts, and tools.
Maintain documentation for datasets, models, and workflows.
Explore and prototype new AI techniques under the guidance of senior team members.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
Strong foundation in Python, including NumPy, pandas, or similar libraries.
Basic understanding of machine learning concepts (training, evaluation, feature extraction).
Familiarity with SQL and data manipulation.
Exposure to cloud platforms like AWS is a plus.
Knowledge of version control tools (Git).
Good analytical, debugging, and problem‑solving skills.
Soft Skills
Willingness to learn and grow in AI engineering.
Strong communication and teamwork abilities.
Curiosity for solving problems using data and AI.
Ability to take feedback and iterate quickly in an agile environment.