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Leads cloud and AI modernization for federal agencies, designing HPC and AI-ready platforms while advising senior leadership on FedRAMP-compliant cloud transformations.
Build and run production ML systems on AWS for a regulated casino analytics platform, owning training, deployment, monitoring, and cost control.
Lead a machine-learning system that recommends the right Wise product to the right customer at the right moment, owning end-to-end pipelines, models, and A/B tests to drive CRM growth.
Data Scientist - Computer Vision Location: Bangalore Area Time Type: Full time Job Description Job Description: Description : At Airbus, we are harnessing the power of artificial intelligence to enhance efficiency and…
Design and optimize ML pipelines, LLM serving, and GPU architectures for generative AI solutions using frameworks like PyTorch, Hugging Face, and vLLM.
Build and maintain MOIA’s serverless AWS-based data platform, enabling teams to process and analyze mobility data efficiently using Python, Kinesis, Lambda, and SageMaker.
Lead the design and deployment of ML models for PayPal’s payments and fraud-risk systems, using Python, PyTorch/TensorFlow, and cloud platforms like AWS SageMaker.
Designs and deploys AI solutions that automate and enhance HR processes, using Python, ML frameworks, and LLM tooling, then integrates them into existing HR systems.
Design and automate cloud security controls for AWS and Azure, secure AI/ML platforms, and enforce data protection across Bloom Energy’s cloud environments.
Senior technical leader shaping enterprise AI and data strategy for Salesforce’s Agentforce and Data360, advising C-suite on architecture, publishing thought leadership, and building reusable assets for EMEA’s largest customers.
Build AI-driven automation for software engineering at a global bank: design deterministic agents, integrate LLMs into CI/CD, and deploy scalable cloud-native systems using AWS/GCP.
Design and build production-grade AI systems, including LLM-based and agentic applications, using Python and modern orchestration frameworks while leading end-to-end delivery for Adobe’s conversational AI solutions.
Design and lead AI-driven platforms using LLMs and MLOps, ensuring scalable, secure systems aligned with business goals and ethical standards.
Build and run large-scale, cloud-native systems that power Adobe’s AI features, including ML inference infrastructure, Kubernetes clusters, and automated patch management across AWS, Azure, and GCP.
Design and operate cloud-native infrastructure and Kubernetes platforms that power AI products and enterprise SaaS, focusing on security, scalability, and cost efficiency.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver insights via dashboards.
Design enterprise-scale AI architectures for agentic systems and foundation models, ensuring secure, compliant deployment across AWS, OpenAI, and Databricks to accelerate drug discovery and delivery.
QA Engineer for an AI-native platform; designs automated tests to catch LLM failures like hallucinations and biases, validates structured data extraction, and maintains ground-truth datasets in an AWS environment.
Build and maintain the ML platform that deploys, monitors, and scales AI models powering Hadrian’s autonomous factories, using MLflow, Dagster, EKS, and FastAPI.
Build and deploy cloud-based ML frameworks in Python/AWS, collaborating with data scientists to productionize AI models and integrate them into JPMorgan’s systems.
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