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The Data Engineer at Keyrus designs and industrializes robust data pipelines and modern data platforms to support AI systems and analytics. The role involves preparing data for generative AI, ensuring data quality, and collaborating with AI engineers to build scalable, production-ready data solutions.
Instruct and mentor a 13-week data science program covering ML, DL, NLP, GenAI, and model deployment using Python, TensorFlow, and AWS SageMaker in Riyadh.
AI/ML DevOps Engineer building and maintaining CI/CD pipelines and production environments for Gen AI and ML solutions at CI Financial, working with Jenkins, Bitbucket, Snowflake, AWS, Docker, and Python.
Develops AI-native software by designing, orchestrating, and validating AI agents/LLMs for business needs, ensuring scalable solutions with full technical ownership. Core focus: spec-driven workflows, context engineering, and human-AI collaboration for internal tools like virtual assistants and workflow automation.
Designs and implements cloud-based data platforms, analytics, and applications for clients using Snowflake, BI tools, and full-stack development, while advising on business transformation.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
Data Scientist, P&C Insurance - Remote Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland…
The Data Engineering Tools Developer builds internal Python-based frameworks, Streamlit applications, and reusable tools to improve the productivity and reliability of data pipelines. The role involves collaborating with data engineers and architects to standardize development, monitoring, and governance practices within a financial services environment.
The Applied AI Engineer will build and maintain production-grade AI agents, machine learning models, and data-driven dashboards to support real-time decisioning and risk management. The role focuses on developing governed, auditable AI systems using Python, TypeScript, and SQL within a high-scale Web3 and iGaming environment.
Develops and scales quantitative data products for investment teams, bridging financial domain expertise with cloud-native data engineering (BigQuery, dbt) and analytics engineering to modernize reporting, AI-ready datasets, and visualization tools like Power BI and Streamlit.
AI Engineer at IBM Client Innovation Centre Quebec (LGS) deploying and monitoring LLM/AI models into production using containers, CI/CD, and cloud AI services, while collaborating with data scientists on large-scale digital transformation projects.
Чем предстоит заниматься: Разработка и оптимизация RAG-систем на базе LLM (LLaMA, GPT-подобные модели) для обработки внутренних документов, отчётов и регламентов ключевых заказчиков; Реализация и тонкая настройка…
Design and build scalable, reproducible data pipelines and cloud infrastructure for consulting projects, using Python, SQL, Airflow, dbt, and Snowflake to deliver automation-first solutions.
Designs and leads enterprise data platform architecture, including cloud lakehouse solutions, Kafka-based event streaming, and integrations for analytics/AI/ML, bridging operational systems and business needs.
Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology company is hiring an…
Who we are looking for We are seeking an experienced analytics leader to join our Global Operational Risk Insights & Analytics team at State Street in Gdansk/Krakow, Poland . In this role, you will own the…
The Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Data Analyst will manage monthly demand cycles for a pharmaceutical client and lead the automation of these processes using Python, SQL, and Snowflake. The role involves building analytical tools and forecasting models to support strategic decision-making across business units.
Builds full-stack software for national security missions, blending algorithm development, legacy system support, and web apps using Python, Go, React, and Kubernetes. Focuses on mission-critical systems with AI/ML integration.
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