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Software Developer Cloud & Distributed Systems This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Who We
The Staff Analytics Engineer will design and govern a data medallion architecture to support loyalty-as-a-service business models. The role involves leading data modeling efforts using dbt, Python, and AWS Redshift to provide high-trust data products for internal and external stakeholders.
The Business Intelligence Analyst will gather business requirements, develop dashboards in Tableau, and perform data analysis to support commercial and operational decision-making. The role involves collaborating with internal teams to translate data into actionable insights using SQL and Python.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
Senior Platform Engineer responsible for assessing, refactoring, and migrating a 34-microservice backend to a modern Python/TypeScript stack with LLM-augmented business logic, using Docker/Kubernetes (EKS), PostgreSQL, and AI-first development practices on-site in Mexico City.
Senior Python Developer building automation frameworks, REST APIs, and backend services for telecoms and network operations using Python, Flask/FastAPI, Docker, databases, and CI/CD in a hybrid role.
Data Engineer Director at Morgan Stanley designing and maintaining Snowflake dimensional models, building ETL/ELT pipelines, optimizing Snowflake performance, and leveraging AI tools for the FS analytics platform.
Build and deliver custom technical solutions using Python, SQL, and RESTful APIs for a US client, owning projects end-to-end through the full SDLC including requirements gathering, development, testing, and deployment.
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new…
Oracle Application Developer/DBA centralizing plankton and groundfish survey data into Oracle Enterprise databases and building web front-end applications (Oracle APEX) for NOAA SEFSC staff and partners.
Research Analyst building and maintaining weather-driven wind and solar production profile datasets for global power market research, using Python/SQL to process meteorological data and applying machine learning to improve forecasting accuracy.
Designs AI-driven systems to monitor and optimize Disney’s global streaming ecosystem (Disney+, Hulu, ESPN) by building real-time telemetry pipelines, agentic models, and observability tools for reliability and performance.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
The Platform Engineering Lead will design and deploy scalable data and AI solutions for financial services, focusing on document processing, intelligent agents, and automation frameworks. The role involves leading cross-functional teams, establishing reusable data architecture patterns, and ensuring responsible AI practices using technologies like Python, Spark, and Databricks.
The Data Engineering and Development VP will lead the design and deployment of AI-driven data solutions and automation frameworks for financial services. The role involves architecting scalable data models for fund accounting and custody domains while mentoring teams in Python, Spark, and generative AI technologies.
Administers mission-critical space systems and networks for US Space Force, ensuring 24/7 uptime, security, and performance for SDA/C2 operations. Core tech: Linux, VMware, Active Directory, scripting, and DoD compliance tools.
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