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We are looking for a highly experienced Senior Data Scientist to lead the design, development, and implementation of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions . The successful…
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Build and deploy production-grade AI and Generative AI solutions for clients, using cloud platforms, MLOps, and frameworks like TensorFlow/PyTorch.
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.
Major Foreign-Based Manufacturing Firm Key Data/AI Role in Singapore Employee-Centric Environment Our client is one of the major player in the manufacturing industry in Singapore. Now, it is looking to expand its Data…
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) end-to-end, from data pipelines to cloud production, and mentor engineers.
Develops and improves machine learning models to detect and prevent cheating in Call of Duty using Python, PySpark, and deep learning.
Builds and deploys AI and machine-learning models for a bank, turning customer, risk, and transaction data into predictive and generative insights to guide executive decisions and automate workflows.
Builds predictive models and AI tools for national defense, analyzing spatial and operational data to enhance mission outcomes and threat detection.
Lead a team building AI/ML models for spatial intelligence, focusing on anomaly detection, predictive analytics, and agent-based modeling to support defense and intelligence missions using Python, SQL, and cloud-native tools.
Leads AI/analytics product strategy for Motorola’s Avigilon security platform, translating cutting-edge models (computer vision, VLMs, agentic AI) into scalable, user-centric solutions for video surveillance and access control. Owns end-to-end roadmaps, cross-functional alignment, and performance metrics for high-volume production deployments.
At PwC, our people in Cloud, Data and AI focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve…
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and…
Brief Summary: Join our dynamic team as we innovate in AI solution development, focusing on Generative and Agentic AI technologies. We are seeking a skilled professional to drive the design and implementation of AI…
Lead the design and deployment of production-grade ML/AI systems using Azure ML, Databricks, and PySpark, ensuring scalable, reproducible, and monitored models in a CI/CD/CT pipeline.
About AIRS Medical AIRS Medical is a fast-growing healthcare technology company founded in 2018 and headquartered in Seoul, South Korea, with rapidly expanding operations across the U.S., EMEA, and Japan. Built on the…
Leads AI strategy for a global product company, designing and scaling recommendation systems, user search, and autonomous agentic models (LLMs, RAG, orchestration) to improve discovery and personalization at scale.
Lead the 0-1 build of an AI-native data infrastructure platform, defining architecture, hiring the team, and shipping production-grade ML/GenAI systems that power core platform capabilities.
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