Job highlights

- Bachelor's in CS, Data Science, or related field with 1-3 years experience; proficiency in Python and data analysis libraries; knowledge of statistical concepts and SQL
- Assist in data preparation, cleaning, transformation; support model design and testing for anomaly detection; perform statistical analyses; collaborate on model integration and documentation

Role & responsibilities

Preferred candidate profile

Assist in data preparation, cleaning, and transformation for model development.

Support senior engineers in designing and testing computational models for anomaly detection.

Perform basic statistical analyses such as standard deviation, variance, and trend analysis to identify anomalies.

Work with large transaction datasets to identify patterns and irregularities.

Assist in model evaluation, fine-tuning, and validation under the guidance of senior engineers.





Collaborate with cross-functional teams to integrate models into production systems.

Document findings, workflows, and results for team reference and knowledge sharing.

Required Skills & Qualifications

Bachelors degree in computer science, Data Science, Statistics, Mathematics, or related field.

13 years of experience in data science, AI/ML engineering, or related areas.

Basic proficiency in Python with exposure to data analysis libraries such as Pandas, NumPy, and Scikit-learn.

Understanding of statistical concepts like mean, median, standard deviation, and correlation.

Familiarity with machine learning fundamentals (classification, clustering, time-series basics).

Knowledge of SQL for data extraction and basic querying.

Solid problem-solving and analytical skills, with attention to detail.

📌 AL ML Developer (Ahmedabad)
🏢 Kaizen Sra Technologies
📍 Ahmedabad