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Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Builds and configures a government Databricks workspace, designs data pipelines from enterprise systems, and implements Unity Catalog and MLflow for governance and ML workflows.
Build and deploy AI/ML models and generative AI systems for government clients, focusing on scalable MLOps pipelines, cloud deployments, and integration with Army operations.
Set the reliability strategy for Yuno’s AI-native payments platform on AWS, designing event-driven messaging, SLOs, and chaos engineering to keep global AI agents and payment flows running 24/7.
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Build and maintain Python-based web scrapers and OCR pipelines to extract structured data from retail and CPG portals, deploying on AWS.
Build and deploy AI/ML models to improve search and discovery for researchers in intellectual property and science, using Python, cloud platforms, and MLOps tools.
Build, deploy, and monitor ML models and AI systems (including multi-agent setups) to predict customer behavior and power financial products at a LATAM fintech platform.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
Lead a team building cloud-native, multi-cloud data platforms for GM’s connected services, marketing, and AI products using Databricks, Spark, and real-time streaming.
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Design real-time computer-vision algorithms and DL models for video analytics, deploy them at customer sites, and publish findings in top-tier journals.
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Build and deploy AI models, RAG pipelines, and LLM-powered systems for early-stage startups backed by a VC firm.
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.
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