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DevOps Engineer
Builds CI/CD pipelines and LLMOps tooling to deploy and monitor AI-powered apps on Azure, including prompt versioning and model endpoint management.
DevOps Engineer
Build and maintain CI/CD pipelines and LLMOps tooling for deploying, monitoring, and managing LLM-based applications on Azure using Docker, Kubernetes, and Azure DevOps.
AI Engineer/ Architect- 12 months- 6k$- Insurer- No visa
Design and implement enterprise AI solutions for an insurer, focusing on generative AI, LLMs, and scalable platforms to improve underwriting, claims, and customer service.
Senior Data Scientist (min 3yrs of experience)
Build and deploy ML models to solve business problems, analyze datasets for insights, and mentor junior team members using Python/R, SQL, and cloud platforms.
Senior Specialist AI Specialist (Data Scientist)
Build and deploy AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
Associate Director, Data & AI Architect
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
ML Engineer, Production AI & MLOps
Build and deploy production-grade ML systems for a digital bank, owning the full lifecycle from model deployment to monitoring and optimization.
Junior/Senior AI Engineer (Mandarin Speakers only)
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
AI Engineer- 5k- Contract- Insurance - No visa sponsorship
Build and deploy AI-powered insurance applications using LLMs, RAG, and vector databases. Integrate models into production systems with Python, cloud platforms, and AI orchestration frameworks.
Data Scientist – Enterprise AI Solutions
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Machine Learning Engineer
Build and deploy ML/AI systems for a digital bank, including LLMs, RAG, and agentic apps, using Python, MLOps, and cloud-native infra.
Business AI Architect
Design and implement AI-driven solutions on SAP Business Technology Platform, integrating generative AI, machine learning, and SAP services to optimize business processes and decision-making.
Senior Software Engineer (AI)
Senior engineer building AI-powered FinTech products: eKYC, fraud detection, and LLM chatbots on AWS serverless with Bedrock, Python, and ML pipelines in a regulated environment.
Senior Software Engineer (AI)
Senior engineer building AI-powered FinTech products: eKYC, fraud detection, and LLM chatbots on AWS Bedrock and serverless stacks.
Senior AI Engineer
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
AI-Native Backend Engineer (AI, APIs & Agentic Systems)
Build and maintain the backend infrastructure for AI-driven products, agent orchestration, and agentic workflows using Node.js, Python, and SQL.
AI Engineer
Design, build, and deploy AI/ML models and generative-AI applications using Python and cloud platforms to solve business problems.
Data Scientist
Build and deploy AI/ML models (LLMs, RAG, multi-agent systems) in Python/SQL to solve business problems, then productionize and monitor them.
AI Engineer, Sr 1
Senior AI Engineer builds and deploys production-grade LLM-powered systems, agentic workflows, and real-time chat services using Python, GPU infrastructure, and Azure AI.
Data/ai architect (databricks)
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.