Job Title: Data Engineer
Location: Remote (US-based)
Duration: Contract / Full-time
Job Description:
We are seeking a Data Engineer to support AI/ML initiatives by building scalable, production-grade data pipelines and platforms. This role requires hands-on expertise in modern data stacks, cloud platforms, and MLOps practices.
Responsibilities:
Design, develop, and optimize ETL/ELT pipelines for AI/ML workloads.
Build and maintain feature stores to accelerate ML development.
Partner with Data Scientists to operationalize models and deploy at scale.
Manage structured and unstructured data (text, image, IoT, logs) for AI applications.
Implement data governance, versioning, and lineage to ensure AI readiness.
Optimize pipelines for low-latency inference on GPUs/TPUs.
Required Skills:
Proficiency in Python, SQL, Spark, Databricks.
Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services (Vertex AI, SageMaker, Azure ML).
Familiarity with MLOps tools (Airflow, Kubeflow, MLflow, DVC).
Experience with real-time data streaming (Kafka, Pub/Sub).
Strong understanding of data modeling, ETL/ELT, and feature engineering.
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