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Lead Python, data and cloud AI/ML engineering for market-leading trading systems, building cloud-native data pipelines and AI models.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION You'll build and ship agents that real businesses depend on, not demos. Platform already runs a…
Design, build, and deploy AI/ML models and generative AI workflows, develop APIs and data pipelines, and operationalize solutions in cloud environments.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Interns build and deploy real web apps, train ML models, and automate cloud pipelines alongside experienced engineers in a fast-paced startup.
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Leads MLOps-driven data platforms, deploys ML frameworks, and designs scalable ML architectures while coordinating data scientists.
Lead the architecture and delivery of backend and AI/ML systems, design data pipelines, and guide the team through productionization and scale using Python, FastAPI, and MLOps.
Lead a small team to architect, build, and productionize AI/ML and backend systems, turning data science experiments into reliable services and setting engineering standards.
Designs, implements, and secures large-scale Azure cloud environments using DevOps practices, automation, and containerization.
Designs and manages Azure-based cloud infrastructure and CI/CD pipelines for AI/ML workloads using Docker, Kubernetes, and Azure DevOps.
Lead Azure DevOps and cloud infrastructure for AI/ML pipelines and SecOps in Abu Dhabi, building and scaling CI/CD platforms for enterprise apps.
Lead a small team to design data architectures, build ML pipelines, and productionize predictive or generative models on AWS and PostgreSQL for a fintech payroll product.
Build and maintain MLOps pipelines on Databricks and Azure ML for a financial-sector client, automating model training and CI/CD deployments.
Build and deploy ML systems for TikTok’s monetization, focusing on AI labeling, multimodal models, and agentic workflows to automate content understanding and decision-making.
Builds Snowflake/Azure data pipelines, deploys ML models, and creates Qlik dashboards to deliver logistics insights and drive data-driven decisions.
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
Build and deploy AI/ML models and RAG systems in AWS GovCloud for secure government workflows, using Python and FedRAMP-authorized services while ensuring compliance and Zero Trust security.
Lead the design and scaling of Toyota’s internal AI/ML platform, enabling teams to build and deploy models for mobility and financial services.
Leads cloud security for AI/ML and data systems at JPMorgan, designing secure data management and enforcing cloud security best practices.
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