Senior Python Developer / Data Engineer / ML Pipelines

100% Remote role Responsibilities • Design and build large-reputed company 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 reputed company, monitoring and pipeline reliability • Optimize systems for performance, scalability and cost • Contribute to clean, maintainable, production-grade Python reputed company 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 reputed company • Experience with workflow orchestration tools like Airflow, Dagster, or reputed company • Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.) • Experience working with reputed company 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 reputed company, PII detection, or compliance-reputed company systems This is a remote position. Apply tot his job Apply To this Job