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Lead the design, build, and deployment of AI/ML and Generative AI solutions at a global pension plan, using Azure AI Foundry, LLMs, and MLOps pipelines to deliver business outcomes.
Build and optimize cloud-based data infrastructure for machine learning and analytics at a global financial data provider, using Python, ML frameworks, and AWS.
Job Description Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute…
Develops AI-driven automotive systems using Python, LLMs, and agentic workflows, deploying scalable services on cloud and Kubernetes for in-vehicle infotainment and safety features.
Designs and builds cloud-based data pipelines and migrates legacy systems to modern, AI-ready data platforms like Snowflake, enabling analytics and business intelligence.
Senior MLOps engineer at Dyson to industrialize AI models, building automated pipelines from data curation to production deployment using cloud platforms and orchestration tools.
Design and build automated data labeling systems for Dyson’s AI-powered devices, using active learning and weak supervision to reduce manual annotation while ensuring high-quality training data.
Lead a team to design and deploy automated data labeling pipelines for machine learning models, using techniques like Active Learning and Weak Supervision to reduce manual annotation in Dyson's connected device projects.
Designs and maintains automated machine learning pipelines, moving AI models from experimentation to production while ensuring scalability, observability, and security for Dyson's connected devices.
Design and build automated data labeling systems for machine learning models, reducing manual annotation using active learning and weak supervision, while integrating with Dyson’s data infrastructure.
Design and build autonomous AI agents for enterprise automation, integrating with systems like ERP and CRM to optimize supply chain and customer experiences using Python, LLMs, and cloud AI services.
Senior Platform Engineer builds and maintains cloud-native infrastructure and DevOps tooling for a consumer health platform that processes millions of biosensor readings daily, using Azure, Terraform, and CI/CD pipelines.
Build and deploy AI-driven agentic systems and LLM-powered applications using Python, LangChain, and vector databases for automotive infotainment and connected ecosystems.
Designs, builds, and deploys generative AI and machine learning systems for virtual care, using Snowflake, Databricks, and MLOps tooling to power scalable AI-driven health products.
Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop,…
IBMC is assisting an innovative international technology company in hiring a high-caliber Senior Mobile App Developer . Our client is building cutting-edge, media-heavy digital products designed for a global user base.…
Senior Python engineer builds and deploys machine learning models in Python, integrating them into production systems and exposing them via REST APIs.
Design and deploy AI systems for Duolingo’s Monetization team, balancing revenue and user retention using large language models, bandit algorithms, and reinforcement learning.
Senior AI/ML Research Engineer designs, builds, and deploys scalable machine learning systems for Deloitte's GenAI team, focusing on production-grade solutions and cross-functional collaboration.
Senior AI Engineer builds and deploys agentic AI systems for real-time vehicle interactions, focusing on multi-agent orchestration, LLM security, and production-grade code for automotive AI applications.
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