Description

You will build and maintain data processing pipelines and machine learning models for enterprise applications.

This role is on-site.

Responsibilities

• Build and maintain data pipelines, ETL processes, and reporting systems using Python.
• Implement modern neural network architectures and deep learning libraries for ML applications.
• Apply unsupervised ML algorithms and develop time series models for anomaly detection.
• Optimize code performance and integrate solutions with cloud services.
• Understand API specifications and determine relevant API calls for data ingestion.

Required Skills

• 5+ years of experience in data science projects involving data pipelines and processing.
• Expert proficiency in Python, including strong programming and debugging skills.
• Experience with data manipulation, wrangling, and time series forecasting using Pandas, NumPy, Matplotlib, and Seaborn.
• Proficiency with SQL and working knowledge of relational and non-relational databases.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.
• Experience with ETL methodologies (Extract, Transform, Load).
• Familiarity with big data technologies and cloud services, specifically AWS S3 and Lambda.
• Knowledge of modern LLMs (e.g., BERT, Chat GPT) and their applications.

Preferred Skills

• Experience with data transformation methods and enterprise architecture patterns.

Key Skills

Education

Any Gradute