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Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
A senior Data Scientist who builds and deploys AI-driven simulation models for engineering/manufacturing industries, bridging technical teams and customers to deliver production-ready predictive tools.
Develops fraud detection models and analytics to identify transactional anomalies, analyze fraud patterns, and deploy mitigation strategies for a fintech company’s debit/banking payments. Uses Python/R, Spark, SQL, and cloud platforms to build predictive models and dashboards for risk management.
Build and deploy predictive/prescriptive analytics models to drive healthcare decisions, using Python, SQL, and ML in a production environment.
Design and implement scalable Python-based IoT and timeseries data analytics solutions using FastAPI/Flask, Azure, and ML tools to power industrial monitoring and energy-efficiency services.
The Senior AI Engineer will design, develop, and deploy AI and machine learning solutions, including LLMs and RAG applications, for global clients. The role requires strong Python skills and experience managing the full ML lifecycle within a consulting environment.
Senior Associate in PwC's Data & Analytics team in Windhoek, focused on IT audit and assurance — designing analytical solutions, building data visualizations, and supporting internal/external audit engagements using SQL, Python, and BI tools.
The Lead Big Data Engineer will design and maintain scalable risk analytics platforms and data pipelines using Python, Java, Spark, and cloud technologies. This VP-level role involves technical leadership, cross-functional collaboration with quants and risk managers, and ensuring the reliability of systems supporting regulatory reporting and risk measures.
This role involves designing and building data pipelines, APIs, and backend services using Python and AWS to support data-driven products and machine learning models. The engineer will work with complex datasets and manage cloud infrastructure to deliver actionable insights.
The Data Scientist will design and deploy fraud detection models and strategies to analyze transactional anomalies and mitigate fraud risks. The role involves using Python, R, SQL, and cloud-based data platforms to develop predictive variables and automate analytics processes.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
Lead the end-to-end data analytics lifecycle at an NBFC lender—building executive dashboards in Tableau/Power BI, writing advanced SQL across cloud warehouses (Snowflake/BigQuery/Redshift), and performing statistical analysis with Python/R to drive decisions across Risk, Finance, and Operations.
The Senior Data Engineer will architect and build scalable data pipelines on AWS to support automotive data products and AI-driven capabilities. The role involves hands-on development using Python, SQL, Databricks, and agentic AI frameworks in a hybrid work environment.
The Advanced Analyst II develops and applies advanced machine learning and statistical models to solve complex business problems across retail operations, merchandising, and supply chain. The role involves partnering with stakeholders to deliver data-driven insights using technologies like Python, Azure, and Power BI.
Job Description: 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 clients,…
Designs and builds AWS-based data pipelines for automotive data; leads architectural decisions, optimizes performance, and mentors engineers in a hybrid role.
The Lead Research Engineer will develop and implement AI, machine learning, and computer vision algorithms to support visual inspection and diagnostics for energy equipment. The role involves collaborating with cross-functional teams to build scalable solutions using Python, PyTorch, and TensorFlow.
The Research Scientist will develop advanced AI and computer vision algorithms to support visual inspection, diagnostics, and prognostics for GE Vernova's energy equipment. The role involves building prototypes, analyzing large datasets, and collaborating with cross-functional teams to drive industrial innovation.
The Modeling and Simulation Analyst will support the Missile Defense Agency by analyzing Hardware-in-the-Loop simulation data and developing Python-based tools. The role involves verifying test data integrity and collaborating with interdisciplinary teams to evaluate Missile Defense System performance.
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