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The MLOps & DevOps Engineer will design and maintain infrastructure and automated pipelines for scalable AI platforms and RAG workflows. The role involves working with GCP, Terraform, GKE, and Vertex AI to manage model deployment, data ingestion, and system observability.
The MLOps & DevOps Engineer will design and maintain scalable cloud infrastructure and automated CI/CD pipelines on GCP to support AI platforms and RAG architectures. The role focuses on bridging data science and engineering by managing ML lifecycles, monitoring model performance, and ensuring system reliability.
Leads a team designing and overseeing data integration strategies for a bank, ensuring high-throughput data ingestion, compliance, and alignment with business goals using tools like Hadoop and NoSQL.
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
Job Description Position Summary Base-2 Solutions is seeking a Data Integration Specialist to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves managing data ingestion and interoperability…
You will build the foundational data platform by migrating analytics into BigQuery, extending Go services for data ingestion, and creating reusable ETL and ELT pipelines. You will consolidate operational, on-chain,…
Design, develop, and maintain a large-scale regulatory reporting data platform for a US investment bank using Java, Apache Spark, and SQL to build and optimize data pipelines generating ~10,000 reports across 240 jurisdictions.
Build and maintain data models using dbt to enable analytics and decision-making across the company, collaborating with business analysts, data scientists, and engineers on a hybrid basis in Tukwila, WA.
The Junior Software Developer will support the development and maintenance of Java-based mission-critical warfighter training and planning tools at SAIC. The role involves working with complex physics-based models, UI design, and data parsing to enhance tactical sensor search plans.
Builds scalable data platforms and automation pipelines for a fintech client, focusing on ETL, search, analytics, and infrastructure optimization.
The C-BRAIN Technical Product Manager at Washington University in St. Louis manages technical product development for a healthcare and AI-focused initiative. This is a remote, full-time position based in the United States.
The C-BRAIN Data Engineer role at Washington University in St. Louis involves managing and processing data for research initiatives. This is a remote position based in the United States.
The Senior Data Engineer will design and maintain scalable data ingestion and AI-driven extraction pipelines using Python, Spark, and AWS. This role involves collaborating with data scientists to integrate LLMs and AI agents into production systems for retail and field operations data.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Build and optimize scalable data pipelines in AWS using Python, SQL, Spark, and Airflow to power analytics, ecommerce, and logistics systems.
Designs and maintains production-grade ELT pipelines in Snowflake, leading data architecture, migration to dbt Cloud, and ensuring data reliability for analytics and reporting in a fast-growing SaaS company.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
The Senior Data Engineer will build and maintain scalable data pipelines and Lakehouse architecture on Azure Databricks to support Electrolux's global data and AI initiatives. The role involves end-to-end data lifecycle management, including ingestion, transformation using dbt, orchestration with Airflow, and implementing data quality standards.
Data and Integration Engineer would be responsible for managing data and integration capabilities across WSP Digital Products, including structured, semi-structured, and unstructured data. The role would design and…
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