We are seeking a skilled AI/ML Developer with 5-9 years of experience in Data Engineering, ETL Development, and Machine Learning solutions. The ideal candidate will be responsible for designing scalable data pipelines, developing ETL processes, enabling AI/ML workloads, and supporting cloud-based analytics platforms.
Key Responsibilities
Data Engineering & ETL
- Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
- Build data ingestion frameworks from multiple structured and unstructured data sources.
- Develop and maintain data lakes, data warehouses, and data marts.
- Ensure data quality, governance, and lineage across the data ecosystem.
- Automate data workflows and pipeline monitoring.
AI/ML Engineering
- Develop, train, validate, and deploy machine learning models.
- Perform feature engineering and data preparation for AI/ML use cases.
- Implement predictive analytics, forecasting, recommendation engines, and NLP solutions.
- Support MLOps practices including model versioning, monitoring, and retraining.
- Collaborate with business stakeholders to translate requirements into AI-driven solutions.
Cloud & Big Data
- Develop cloud-native data solutions on Azure, AWS, or GCP.
- Build scalable data processing solutions using Spark and Databricks.
- Implement real-time and batch processing frameworks.
- Optimize performance and cost of cloud-based data platforms.