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Lead the development and optimization of AI/ML models (CNNs, Vision Transformers, LLMs) for AMD’s next-gen compute platforms, focusing on compiler toolchains, performance tuning, and system-level engineering.
Build and lead a secure, cloud-native data platform at Salesforce that ingests security signals from multiple sources, integrates AI/ML for risk analysis, and automates remediation using Java, Spark, and AI tools.
Build and scale ML-driven trading strategies for crypto markets, owning the full research-to-production cycle and directly impacting real PnL with high-performance Python models.
Leads the design, development, and deployment of AI/ML systems at scale for a fintech company, focusing on model architecture, cloud-based infrastructure, and production pipelines while collaborating with data science and product teams.
Lead AI/ML-driven automation for ASIC design flows at NXP, improving power, performance, and verification for SoC and IP teams using cutting-edge techniques like GenAI and reinforcement learning.
Lead a machine-learning team building real-time ad-targeting models for a global ad-tech platform, optimizing bids, clicks, and conversions across mobile apps and other verticals.
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate…
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native…
Lead a team to design and deploy advanced machine learning models for detecting cybersecurity threats, using Python, Spark, and MLOps practices to build scalable threat-detection pipelines.
Lead a team to build and scale machine learning infrastructure for drug discovery, including model training pipelines, deployment systems, and agentic systems, using Python, PyTorch, Kubernetes, and GCP.
Lead the technical strategy and execution for Quantiphi’s AWS AI/ML services, guiding pre-sales, client engagements, and packaged solutions using AWS SageMaker, Bedrock, and related AI/ML tools.
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.
Lead the design, development, and deployment of machine learning systems at scale for a major bank, collaborating with data science and product teams to productionize ML models using cloud platforms and distributed computing.
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.
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll…
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+…
At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative…
Lead the design and scaling of multi-modal, agentic AI systems for banking workflows, from prototype to production, while mentoring an ML team in a fast-growing startup.
Leads development of 4G/5G RAN protocol stacks (L2/L3) with deep expertise in MAC/RLC layers, C/C++, Linux debugging, and optional AI/ML for network optimization in a telecom environment.
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