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About the Role As a Product Owner on MCO’s eComms Compliance team, you will own the roadmap for a new scrum team dedicated to AI feature development across our communications surveillance and archiving solutions, which…
Design and implement AI security controls, threat detection, and incident response for Absa’s AI/ML systems, including LLMs, agentic AI, and MCP ecosystems, while hunting for adversarial threats.
Lead the architecture and development of a Svelte 5/TypeScript SPA that visualizes and edits Kubernetes-native usage-data pipelines, including a graph-based workflow editor, embedded code tools, and AI-assisted features for enterprise billing platforms.
Senior Investment Data Analyst builds and maintains AI-enabled investment data pipelines, using SQL, Python, and Snowflake to validate and analyze asset-class data for reporting and process improvements.
Designs and maintains secure identity and access controls for a fintech SaaS platform, focusing on privileged and non-human identities, MFA, and zero-trust alignment.
Lead data analytics and AI initiatives at a global renewable energy firm, building ML models, LLMs, and automation to drive climate-focused business decisions using Python, SQL, and cloud platforms.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics and generative AI, while mentoring staff and managing line responsibilities.
Build AI/ML models and graph analytics for telecom network autonomy, using Python, BigQuery, and KPI engineering to predict faults, optimize performance, and support AIOps and digital twin systems.
Lead a team building AI/ML models for Workday SaaS, driving predictive analytics and automation from concept to production.
Builds predictive models and uncovers insights from large datasets using Python/R, SQL, and machine learning to guide business decisions and strategy.
Build and deploy ML models and anomaly detection systems to detect and prevent fraud for a fast-growing African fintech platform.
Research Fellow develops interpretable AI/ML models for anomaly detection and predictive tasks on pharmaceutical datasets in collaboration with CSL Behring.
Freelance role training and evaluating advanced AI models on data science topics, requiring deep expertise in ML, NLP, and statistical modeling to improve model reasoning and accuracy.
Designs and maintains scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Join the team as our new Analytics Engineer (Quality) – India You will be responsible for building and evolving the frameworks that ensure trust, reliability, and accuracy across our modern data platform. Working…
Leads QA strategy and AI-driven testing for a fintech platform serving life insurance and annuities, building and scaling a global team while ensuring SOC 2 compliance and enterprise-grade reliability.
Build and own a full-stack SaaS for building inspections: React SPA, Django backend with WebSockets, Node/Express microservice, and AWS cloud infrastructure.
Principal Data Scientist at Xsolla to architect ML solutions, lead fraud/anomaly detection models, and mentor teams in the video game industry.
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
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