Senior Python Developer / Data Engineer / ML Pipelines
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AI Summary
Design and build large-scale data pipelines for ingestion and processing while maintaining end-to-end ML pipelines. Collaborate with data scientists to productionize models and optimize systems for scalability and performance.
Senior Python Developer / Data Engineer / ML Pipelines
100% Remote role
Responsibilities
- Design and build large-scale data pipelines for ingestion, transformation and processing
- Work on ETL/ELT workflows handling different types of data
- Build and maintain end-to-end ML pipelines from data preparation to deployment and monitoring
- Collaborate with data scientists to productionize ML models
- Work on feature engineering, training pipelines and model serving
- Ensure data quality, monitoring and pipeline reliability
- Optimize systems for performance, scalability and cost
- Contribute to clean, maintainable, production-grade Python code
Experience Required
- 8+ years of software engineering experience with Python as primary language
- Strong background in data engineering (ETL/ELT, pipelines, data processing)
- Hands-on experience building and maintaining ML pipelines in production environments
- Experience with PySpark / Apache Spark
- Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
- Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.)
- Experience working with cloud platforms (AWS / GCP / Azure)
- Strong SQL skills and experience with data warehouses
- Comfortable working in a distributed/remote engineering setup
Plus
- Experience with NLP or LLM-based systems
- Familiarity with MLOps tools like MLflow, Kubeflow, or similar
- Experience with feature stores
- Exposure to data privacy, PII detection, or compliance-related systems
This is a remote position.
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