Devsinc is seeking an AI-Data Engineer to bridge data engineering with applied artificial intelligence. The role involves designing scalable data pipelines, building machine learning solutions, and contributing to the development of next-generation Generative AI systems. This is a unique opportunity to work across the entire machine learning lifecycle.
Requirements
- Design, develop, and maintain automated ETL/ELT data pipelines
- Work with cloud platforms (AWS, GCP, or Azure)
- Model, transform, and warehouse data (Snowflake, Redshift, BigQuery, Synapse)
- Engineer features and leverage Databricks and Spark for large-scale data processing, analytics, and ML workloads
- Design, train, and productionize ML models for classification, recommendation, forecasting, and NLP/CV tasks
- Build and deploy Generative AI solutions (RAG pipelines, LLM applications, agentic workflows)
- Deploy and serve models via REST APIs and containerized services (Docker, Kubernetes)
- Contribute to MLOps & DataOps including CI/CD pipelines, automated testing, monitoring, and observability
- Collaborate with cross-functional teams
- Proficiency in databases (PostgreSQL, MongoDB, SQL/NoSQL)
- Collaboration
- Team Player
- Growth Minded
- Adaptable
- Customer-Centric