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AI Security Consultant
Advises clients on securing AI-enabled systems (LLMs, agents) and traditional cyber domains, assessing risks like prompt injection and designing controls for cloud, identity, and AI governance.
Principal Data Scientist
Lead enterprise AI engineering at a large utility: design scalable agentic and generative AI systems in Python/AWS Bedrock, set standards, and guide production deployment for safety, reliability, and operational efficiency.
Cloud Solution Architect - Cloud & AI Data
Designs enterprise-scale data platforms and AI solutions for financial clients using Microsoft Fabric, Azure AI, and generative AI to drive business outcomes and Azure consumption.
Applied AI Engineer
Build and deploy AI workflows, vector databases, and RAG systems while integrating deterministic components and optimizing prompts for production use.
Technical Architect, Machine Learning, Generative AI
Design and build enterprise-grade generative AI systems on AWS using Bedrock, AgentCore, and RAG pipelines, leading teams to deliver scalable LLM applications with agentic workflows.
Machine Learning Technical Architect
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS SageMaker and EKS, focusing on model lifecycle management, CI/CD, monitoring, and governance for AI/ML systems.
Senior Software Engineer, AI Platforms
Build and maintain AI developer platforms (LLM Gateway, agent frameworks) to integrate AI features across the SDLC, focusing on scalability, observability, and cost control for high-throughput workloads.
Senior AI/ML Engineer, Life Sciences
Designs and deploys AI/ML models for cancer diagnostics and precision oncology, using deep learning and generative AI to analyze biological and clinical data.
Senior AI/ML Engineer, Life Science
Build and deploy advanced AI/ML models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
AI Cybersecurity Engineer
Build and deploy AI-powered cybersecurity solutions on Google Cloud, integrating LLMs and automation to strengthen identity security and threat detection for a global fintech leader.
Director, Artificial Intelligence - Cyber Security
Lead the design and deployment of AI-driven cybersecurity platforms on Google Cloud, building threat detection, automation, and AI-enabled resilience for a global fintech leader.
Senior AI Engineer – Generative KI & AWS (m/w/d)
Builds and deploys generative AI features on AWS using IaC and DevOps practices like Terraform, Kubernetes, and RAG pipelines.
Applied AI Field Engineer
Builds AI-powered features like prompt frameworks and retrieval pipelines that automate engineering tasks, integrating LLMs into production systems while ensuring accuracy and reliability.
Senior Software Engineer, AI Platform
Build and optimize an AI-powered document compliance platform using Vision-Language Models to verify building permits against codes, integrating FastAPI, React, and Azure cloud services.
AI Software Engineer (Remote)
Build and deploy AI-powered features for a SaaS platform serving the automotive industry, integrating LLMs and cloud AI services into production applications.
Applied AI Associate (Public Health), Health Analytics and AI Unit - Digital Health
Build and deploy AI pipelines for India’s national health-insurance programme, including anonymisation, synthetic-data generation, and natural-language querying of aggregated public-health data.
Senior AI Engineer
Lead the design and governance of enterprise-grade AI solutions for a global bank, building reusable frameworks and ensuring responsible AI adoption across regulated financial markets.
AI Engineer
Build and maintain prompt libraries and RAG pipelines for an AI-powered logistics platform, integrating WMS, EDI logs, and document repositories.
Machine Learning Engineer, Generative AI
Build and deploy generative AI systems using LLMs, RAG, and agentic workflows; fine-tune models and evaluate performance for Qualcomm’s core AI products.
Machine Learning Scientist
Research and develop efficient generative AI models (LLMs, multi-modal) for on-device deployment, focusing on reasoning, RAG, and Agentic AI.