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Data Engineer for AI/ML Development
1 month ago
- About Solytics Partners
We are a team of experts in AI/ML and BFSI, providing innovative solutions to leading corporations and institutions.
Job Summary
We are seeking an experienced Data Engineer with 5+ years of hands-on experience in developing and implementing AI and machine learning use cases.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that support the ingestion and processing of large datasets for AI/ML applications.
- Collaborate with data scientists and business stakeholders to identify and define AI/ML use cases that drive value.
- Clean, preprocess, and transform raw data into structured formats suitable for analysis and machine learning tasks.
- Work closely with data scientists to ensure data is optimized for AI/ML use cases.
- Ensure data quality, integrity, and availability for AI/ML initiatives.
- Conduct exploratory data analysis to inform model development and feature engineering.
- Optimize machine learning models for performance and scalability, utilizing best practices in model evaluation and selection.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science or a related field.
- 5+ years of experience as a Data Engineer, with a strong focus on AI/ML applications.
- Proficiency in Python for data manipulation and processing.
- Experience with data pipeline tools (e.g. Apache Airflow, Luigi, or similar).
- Solid understanding of data architecture, data modelling, and ETL processes.
- Familiarity with cloud platforms (e.g. AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes) is a plus.
- Experience in the banking or fintech industry is highly desirable.
- Knowledge of SQL and NoSQL databases for data querying and management.
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