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Platform Engineer (Data Platform, AI, 25-35K)
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
AI Engineer
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Senior Data Scientist: ML Lifecycle & MLOps Lead
Own the full ML lifecycle: build ETL pipelines, develop predictive models, and deploy them to production using Docker/Kubernetes, MLflow, and cloud platforms like AWS/GCP/Azure.
AI Engineer (LLM/ Chatbot)
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Senior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
AI Solutions Engineer, Office of the Group CEO
Build production-grade AI tools and data pipelines for the Group CEO, turning executive problems into reliable LLM-enabled workflows and decision-support systems while aligning with maritime and trading operations.
AI Specialist | Deploy AI/ML solutions | Perm | 30-35k
Deploys and maintains AI/ML models, builds data pipelines, and integrates solutions using Python, TensorFlow/PyTorch, and cloud AI services.
Senior/Staff Software Engineer, Liquidity Platform
Build low-latency crypto trading infrastructure and automated strategies for a global exchange, integrating CeFi/DeFi venues, risk systems, and real-time data pipelines.
AI Engineer (LLM/ Chatbot)
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Software Engineer (Risk and Compliance)
Build and lead a real-time risk control platform for crypto payments, integrating fraud detection, credit scoring, and compliance using Java, microservices, and big-data tech.
AI Engineer - Hybrid
Build, deploy, and maintain AI/ML models and pipelines using Python, Databricks, MLflow, and Azure AI to deliver business solutions like predictive analytics and Generative AI.
Computer Vision Engineer
Build and improve video intelligence solutions for sports using computer vision and ML; enhance detection, tracking, and event recognition in video workflows.
Data Scientist
Build and validate ML models (forecasting, classification) and fine-tune LLMs using Python, Databricks, and Azure AI Foundry to drive data-driven decisions across finance, HR, and ecommerce.
Data Scientist
Build, deploy, and maintain production-grade ML models and MLOps pipelines using Python, Docker, Kubernetes, and cloud platforms.
Senior AI/ML Engineer
Build and deploy AI/ML and generative-AI models to improve healthcare outcomes, using frameworks like PyTorch and cloud platforms such as AWS/Azure.
AI Engineer | Hybrid - Centris/Makati
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Applied AI Engineer - (ML / AI / AGI)
Designs and builds production-ready AI services for ranking, summarization, retrieval, and agentic workflows using Python, AWS, and Databricks.
AI/ML Engineer (Computer Vision) | Hybrid Work Setup
Build and deploy AI models, especially computer vision, to extract consumer insights and drive retail decisions using Python, PyTorch, and Azure ML.
Machine Learning Engineer
Build and deploy ML/AI systems for manufacturing—computer vision, predictive analytics, and anomaly detection—to improve quality and automation in plant operations.
Generative AI Architect (Databricks & Agentic AI)
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.