AI Data Engineer
10 hours ago
AI Data Engineer
About the Role
We are looking for an AI Data Engineer
who can build scalable, high-quality data pipelines that power advanced analytics and AI/ML models. If you enjoy turning raw data into reliable, production-ready datasets for AI use cases, you'll thrive in this role.
What You'll Do
- Design, build, and maintain end-to-end data pipelines for AI/ML workloads
- Develop high-quality, model-ready datasets by transforming, cleaning, and enriching raw data
- Build and manage feature stores and support ML engineers with feature engineering
- Collaborate with data scientists to understand model requirements and deliver optimized datasets
- Implement ETL/ELT workflows for real-time and batch data processing
- Optimize data systems for speed, scale, and cost efficiency
- Ensure data quality, governance, and documentation across pipelines
- Work with cloud-native tools for storage, orchestration, and automation
What We're Looking For
- 2–5 years of experience as a Data Engineer or AI-focused Data Engineer
- Strong expertise in Python and SQL
- Experience with distributed processing tools: Apache Spark, Databricks, PySpark
- Hands-on experience with ETL/ELT orchestration (Airflow, dbt, Prefect, etc.)
- Good understanding of ML pipelines, feature stores, and AI workflows
- Familiarity with cloud platforms (AWS / Azure / GCP) and modern data architectures
- Experience working with APIs, data ingestion frameworks, and real-time streaming (Kafka is a plus)
- Strong problem-solving mindset and ability to work in fast-paced environments
Good to Have
- Experience with MLOps tools such as MLflow, Vertex AI, or Azure ML
- Knowledge of vector databases and feature engineering tools
- Exposure to LLM/GenAI data pipelines
Why Join Us
- Work on cutting-edge AI and analytics products
- Opportunity to influence architecture and build scalable systems from scratch
- Collaborative, growth-focused environment
- Real impact on product performance and customer experience
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