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Operate and maintain Databricks and Dataiku platforms, moving data-science projects into production and keeping ML pipelines healthy for humanitarian services.
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
Software Engineer at Barclays building enterprise-grade Java microservices and cloud-native integrations on AWS, focusing on infrastructure, deployment pipelines, and secure backend systems.
Leads DevOps for analytics/data/AI platforms, ensuring scalable, secure, and cost-effective cloud operations with CI/CD, IaC, and SRE practices.
Cloud Engineer leading the design, deployment, and monitoring of AWS and Azure cloud infrastructure, including data pipelines, IaC (Terraform/CloudFormation), and Python/PySpark-based solutions on a hybrid basis in Trenton, NJ.
Develops AI/ML solutions (predictive models, generative AI, agentic systems) for government case management modernization, focusing on compliance, MLOps, and data-driven decision tools.
The Data Scientist will develop and deploy predictive models and production pipelines for automotive valuation services using Python, SQL, and AWS. They will collaborate with engineering teams to optimize data processes and create visual reports to communicate insights to stakeholders.
Lead Software Engineer building Generative AI solutions—assistants, AI-infused pipelines, and tooling—using Python/Go, deployed on AWS with GitHub Actions CI/CD, leveraging frameworks like LangChain and LangGraph at Caterpillar's Cat Digital division.
Senior Software Engineer building Generative AI solutions—assistants, processing pipelines, and tooling—using Python/Go, LangChain/LangGraph, and deploying on AWS with GitHub Actions CI/CD at Caterpillar's Cat Digital division.
Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
The Lead AI Engineer will design, build, and scale production-grade AI and Generative AI solutions within the insurance platform using AWS services. This hands-on role focuses on operationalizing AI models, developing RAG pipelines, and implementing MLOps practices in a regulated environment.
The Lead Data Engineer will lead complex data engineering projects, building AI-enabled data platforms and pipelines on AWS for diverse clients. The role involves managing teams, mentoring junior staff, and implementing data foundations for machine learning and Generative AI solutions.
The Director of Enterprise AI Platform Engineering will lead a team to build and operate the core infrastructure governing AI workloads, including AI gateways, policy engines, and observability tools. This role focuses on creating a secure, scalable, and compliant platform that enables enterprise-wide AI adoption.
The Senior Data Scientist will design and deploy agentic AI and GenAI analytics solutions, including RAG systems and forecasting models, while managing end-to-end MLOps. The role requires strong Python, cloud ML expertise, and experience in productionizing AI systems for enterprise or government operations.
The AWS Data Engineer will design, build, and maintain end-to-end data lake and lakehouse solutions on AWS. The role involves developing ingestion pipelines, managing data transformation workflows, and enforcing security and governance standards using AWS services.
The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions, including Generative AI and LLM-based applications. The role involves building MLOps pipelines, integrating AI into enterprise systems, and collaborating with cross-functional teams to drive business value.
This role involves supporting the deployment and operation of Agentic AI solutions within an enterprise environment using Python, AWS, and Snowflake. The developer will focus on automation, data integration, and production support rather than AI model research.
Builds and deploys AI/ML models and applications to automate decisions and insights for a reverse-mortgage fintech, using Python, TensorFlow/PyTorch, and cloud MLOps.
Senior Data Engineer specialized in Dataiku at a Paris-based consulting firm, working on client missions involving data needs analysis, data processing and visualization, POCs, and solution benchmarking using Dataiku, Python, SQL, Big Data tools, and cloud ML platforms.
The Machine Learning Engineer will provide MLOps support for autonomous trucking model development, including debugging pipelines, maintaining infrastructure, and collaborating with engineering teams. The role focuses on ensuring reliable model deployment using Python, PyTorch, and various MLOps orchestration tools.
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