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Build and maintain scalable MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to deploy, monitor, and retrain ML models for enterprise use.
Builds and optimizes a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms using Python, HPC, and cloud tools.
Build and run automated tests for AI-driven healthcare data pipelines, validating ETL workflows, APIs, and ML model integrations to ensure data accuracy and regulatory compliance.
Senior DevOps Engineer to design, build, and operate scalable infrastructure for an enterprise AI platform, using Kubernetes, cloud providers, and CI/CD pipelines.
Lead the modernization of legacy mainframe systems (COBOL, JCL, DB2) into modern Kotlin/JVM services using AI agents, RAG pipelines, and automated verification to ensure correctness and compliance in wealth management technology.
Lead a team building AI agents that modernize legacy mainframe systems into scalable, auditable services using Python, Kotlin, and distributed architectures.
Designs and builds backend services for a centralized security analysis platform, integrating software composition analysis tools and processing security data at scale using Python and AWS.
Build AI-powered automation for Amazon’s finance teams using LLMs, AWS Bedrock, and distributed systems to streamline workflows and cut manual hours.
Job Description This role owns the test strategy, end-to-end validation and release readiness of automation and software solutions for advanced analytical and mass spectrometry workflows, with emphasis on…
Job Description This role owns the test strategy, end-to-end validation and release readiness of OpenLab-based analytical instrument and laboratory automation workflows. It covers OpenLab CDS, GC, LC, GC/MS, LC/MS,…
Lead a team building high-performance analytics systems for equities trading using KDB+/Q and Python, processing real-time market data at scale.
Build and own full-stack features in TypeScript, Node.js, React, and Next.js, using AI coding agents to accelerate development while ensuring robust, cloud-ready software with rigorous testing.
Lead the design and development of scalable, multi-cloud data platforms using Python, Snowflake, Databricks, and Microsoft Fabric, while mentoring engineers and optimizing ETL/ELT pipelines.
Build and own end-to-end features for Adobe’s Real-Time CDP, integrating distributed backend services with React-based UIs to securely unify and collaborate on enterprise customer data at scale.
Meet the Team The Cisco IQ and Validation team is building intelligent automation and validation capabilities powered by Agentic AI. Our engineers work with Python, APIs, cloud-native technologies, LLMs, MCP, and…
Position Summary As the AI Solutions & Technical Support, you will design, develop, and support AI-enabled solutions that improve productivity and operational efficiency across the SEAO region. Working closely with…
Build and maintain data pipelines, ETL processes, and dashboards for Amgen’s supply-chain analytics using Python, Spark, SQL, and Tableau.
Senior engineer building AI-assisted software workflows, reviewing AI-generated code, and translating business specs into testable requirements using C#, .NET, and PostgreSQL.
Build and maintain large-scale data infrastructure for ML pipelines, training datasets, and distributed batch/stream processing using Spark, Flink, Ray, and orchestration tools.
Designs and owns scalable data platforms for retail and downstream operations, using Databricks, AWS, Azure, Kafka, Airflow, dbt, SQL and Python to deliver governed, business-ready data products.
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