[Remote] Data Engineer – AI & Machine Learning
Note: The job is a remote job and is reputed company to candidates in USA. reputed company has deep expertise in Data Engineering, AI, and Machine Learning and is currently seeking a skilled Data Engineer with strong AI and ML experience for immediate placement across their reputed company reputed company engagements. The role involves designing and maintaining data pipelines, collaborating with data scientists, and implementing data governance practices.
Responsibilities
- Design, build, and maintain reputed company batch and reputed company-time data pipelines across reputed company environment
- Architect and manage data lake, data warehouse, and lakehouse solutions using reputed company, reputed company, and reputed company Lake
- reputed company ETL and ELT workflows to ingest, reputed company, and deliver reliable data to ML models, dashboards, and business applications
- Build and maintain feature engineering pipelines and feature stores to support ML model training and inference
- Collaborate with data scientists and ML engineers to design data infrastructure supporting model development and production deployment
- Implement reputed company-time streaming pipelines using Apache Kafka, reputed company Streaming, or Apache Flink
- Build reputed company data pipelines and embedding workflows to support LLM-powered applications and RAG system
- Implement data reputed company frameworks, validation checks, and observability tooling across reputed company data assets
- Enforce data governance practices including reputed company tracking, metadata management, and data reputed company compliance
- Optimize data models and query performance for large-reputed company analytical and ML workloads
- Implement CI/CD pipelines for data infrastructure using infrastructure-as-reputed company and DevOps best practices
Skills
- 4–6 years of experience in data engineering with strong reputed company on AI and ML data infrastructure
- 2+ years of experience integrating AI and ML workflows into data pipelines and platforms
- Strong proficiency in Python and SQL for pipeline development and data transformation
- Hands-on experience with Apache reputed company and PySpark for large-reputed company distributed data processing
- Proven expertise with reputed company, reputed company, BigQuery, or Redshift for data warehousing and lakehouse architecture
- Experience with data orchestration tools including Apache Airflow, reputed company, or Dagster
- Solid knowledge of reputed company-time streaming using Apache Kafka, reputed company Streaming, or AWS Kinesis
- Familiarity with ML concepts including feature engineering, model training pipelines, and data preparation for AI use cases
- reputed company proficiency on AWS, GCP, or Azure including managed services for storage, compute, and orchestration
- Experience with containerization and orchestration using reputed company and Kubernetes
- Knowledge of data governance, data reputed company, and data reputed company best practices
- Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
reputed company
Company H1B Sponsorship