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Engineer - Data Science
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Manager
Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our…
Manager, Product Management
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…
Senior Manager, Data Science and AI
Leads AI/ML architecture and development for Pfizer’s commercial analytics, designing RAG pipelines, agentic systems, and production-grade AI solutions to optimize marketing spend and business strategy.
Manager, Data Science and AI
Build and deploy production-grade AI agents and RAG systems to optimize Pfizer’s commercial marketing spend and workflows, using Python, cloud LLMs, and agent frameworks like LangChain.
Full Stack Developer Angular Java (She/He/They) Barcelona
Build and maintain web apps using Angular 16+ (NgRx, Signals) and Java, integrating Generative AI tools and cloud-native practices in a cross-functional team.
DevOps Engineer - CI/CD - Barcelona, Madrid o Zaragoza, Alicante
Builds and maintains CI/CD pipelines and cloud infrastructure for a Conversational AI platform using Azure DevOps, Terraform, Helm, and Kubernetes.
Talent Community - MLOps Engineer
Build and maintain scalable ML pipelines and infrastructure for AI-driven projects using Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure.
Data Scientist – NLP / Generative AI
Build and deploy NLP and generative AI systems—fine-tuning LLMs, RAG pipelines, and vector search—to automate document processing and decision support for a mid-market professional services firm.
MLOps Engineer
Build and maintain the infrastructure and pipelines that deploy, monitor, and scale machine-learning models in production, using Docker, Kubernetes, and cloud ML platforms.
Lead AI Security Architect
Lead the design of secure AI platforms, embedding privacy, compliance, and risk controls into ML pipelines and model deployments while aligning with regulations like PDPA.
1225 - 405PIC | MLOps Engineer
Build and automate cloud infrastructure for AI/ML models and agents, deploying scalable pipelines on AWS/GCP/Azure with Kubernetes, CI/CD, and observability tools.
Senior DevOps Engineer
Maintains and optimizes a production AI medical-legal reporting platform on AWS EKS, focusing on stability, observability, and HIPAA compliance while improving infrastructure and workflows.
Software Developer III, Full Stack, Cloud Applied AI
Builds and integrates cloud-based AI-powered contact center software using C/C++ and Generative AI, collaborating with external partners and AI research teams.
ENGENHEIRO DE MACHINE LEARNING SR
Build and deploy ML models and MLOps pipelines using TensorFlow, PyTorch, and Scikit-learn to power a scalable AI product used daily by major Brazilian companies.
Senior MLOps Engineer
Build and operate the production ML/LLM platform for healthcare workflows, including training, deployment, monitoring, and compliance systems on GCP.
AI Engineer
Build and deploy AI-powered systems like LLM apps and RAG pipelines for enterprise clients, integrating models into production while maintaining scalable data pipelines and MLOps workflows.
AI Architect
Principal AI Architect designs and evolves WorkSpan’s AI platform, owning agent orchestration, RAG pipelines, streaming inference, prompt lifecycle, observability, and security for enterprise-scale AI systems.
VP, Cloud DevOps Engineer, UOB Asset Management Business Technology
Build and scale cloud infrastructure on GCP for a leading Asian asset management firm, automating deployments with Terraform and Python while enforcing security and cost controls.
Data Engineer - Manager/Specialist
Lead a team to design, build, and maintain scalable data pipelines and ETL/ELT processes using big data tech like Spark and cloud platforms such as Azure or AWS.