AI Data Engineer
We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled AI Data Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Data Engineer
Job Location: Moline, IL.
Onsite/Hybrid: Onsite Key Responsibilities
- Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency.
- Langchain Integration: Utilize Langchain to build and optimize AI workflows, automate processes, and enhance AI model capabilities with data-driven features.
- Cloud Data Infrastructure: Manage and scale data infrastructure on AWS, using services such as S3, EC2, Lambda, Redshift, and others.
- SQL & Database Expertise: Write complex SQL queries for data extraction, transformation, and analysis. Optimize database performance and ensure data integrity.
- Collaboration: Work closely with Data Scientists, AI Engineers, and other stakeholders to ensure data is properly structured for machine learning models and other analytics use cases.
- Data Quality & Governance: Monitor data quality, create processes for error handling, and ensure compliance with data privacy regulations and best practices.
- Performance Optimization: Continuously optimize and fine-tune data processing pipelines and database queries for better performance and scalability.
- Documentation: Maintain detailed documentation on the architecture, data processes, and code to ensure smooth collaboration and knowledge transfer.
- 3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines.
- Hands-on experience with Langchain for building and optimizing AI workflows and automation.
- Strong experience with large-scale data management, including working with distributed systems and processing massive datasets.
- Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases.
- Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS.
- Proficient in Python
- Strong understanding of database design, data modeling, and query optimization.
- Familiarity with data warehousing concepts and tools.
- Experience working with data pipelines and workflow orchestration tools like Apache Airflow, or similar.
- Knowledge of AI and machine learning concepts, particularly around data preprocessing and feature engineering.
- Experience with Apache Spark, Kafka, or other big data technologies.
- Familiarity with containerization (Docker, Kubernetes) for deploying scalable data solutions.
- Knowledge of AI-specific data workflows, including data preparation for natural language processing, computer vision, or other AI applications.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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