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Senior Software Developer (Python, React, AI)
Senior developer on U.S. News' Hospital Data Insights team, building and operating Python backend services, PostgreSQL data pipelines (ETL, validation, automation) and APIs powering hospital data products, with React for app-layer changes. Heavy use of AI-assisted development tools, AWS and BigQuery; hybrid role for DC- or NY-based candidates.
Software Engineer - ML/Computer Vision (Battery Sorting)
Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
Data Engineer
Data engineer at Hypercube Consulting, a fast-growing UK data-and-AI consultancy serving the energy sector. Day to day you turn client requirements into designs and build, test and deploy cloud data platforms and pipelines (Python, SQL, AWS/Azure/GCP, lakehouses) from event streaming to big data analytics, plus contribute to pre-sales and outreach.
Senior data ML engineer
Senior engineer in The Hague working across data engineering, ML and MLOps on an Azure data platform for an organisation focused on finance, blockchain and digital assets: building data pipelines, developing and deploying ML models, and automating deployment and monitoring. Core stack: Python, SQL, Azure ML, MLflow, CI/CD, Git.
Lead DevOps Engineer (AWS) - B2B Contract - Lisbon
Lead DevOps Engineer (AWS) - CloudOps - B2B Contract - Lisbon (initially 100% remote with a view to becoming a hybrid role) - Long Term Project 1 week ago Be among the first 25 applicants Direct message the job poster…
Senior Machine Learning Engineer, 3D Data
Roblox (San Mateo, CA) is hiring a Senior ML Engineer to build the data flywheel behind its 3D generative AI foundation models: architecting petabyte-scale pipelines to ingest, clean, and synthesize 3D datasets, building evaluation frameworks, and serving high-throughput inference APIs. Core stack is Python, with C++ and game-engine tools (Blender, Unreal, Unity) as pluses.
Data Scientist/ML Engineer
Ambush is hiring a Machine Learning Engineer (remote, Porto Alegre, Brazil) to design, build, and deploy AI-enhanced applications, focusing on Python (FastAPI) backend orchestration, LLM workflows with LangChain/LangGraph/OpenAI SDK, and secure, scalable deployment of AI services on cloud platforms like GCP, AWS, or Azure.
Data engineer
Data engineer at agap2 joining a client project to evolve a cloud data platform in Barcelona: designing dbt data models (Silver/Gold in Snowflake), building and monitoring Azure Data Factory pipelines, and applying data quality, governance, and lineage. Hybrid setup with a permanent contract.
Ai Engineer / Full Stack Developer – Ai Reporting & Insights
Joins Mondelēz Digital Services to build an AI-powered insights platform that turns raw market data into decision-ready recommendations. Day-to-day: data pipelines (Python, Databricks, AWS), LLM/RAG workflows, and full-stack apps in React/Next.js, plus monitoring, CI/CD and infrastructure-as-code with Terraform.
AI Engineer / Full Stack Developer – AI Reporting & Insights
Full-stack/AI engineer on Mondelez Digital Services' team in Barcelona, building a new AI-powered insights platform that turns market data into decision-ready recommendations. Day to day: data pipelines (Python, Databricks, AWS), LLM/RAG and agent workflows, and full-stack apps (React/Next.js) surfacing AI insights to business users.
D&A - Senior Data Engineer
AllCloud, an AI-led cloud professional and managed services provider (AWS Premier and Salesforce partner), is hiring a data engineer to design, build, and maintain ETL/ELT pipelines and a Lakehouse data platform on Databricks, Snowflake, and AWS — spanning data modeling, governance, performance tuning, and automated data quality.
Principal Data Scientist
Principal Data Scientist at a trust, safety & AI-security company, reporting to VP Engineering. A hands-on senior IC who owns technical direction of real-time content-moderation inference, automated GenAI red-teaming, and the Databricks/PySpark MLOps platform, writing code in Python, Rust, and PySpark and leading LLM safety work end to end.
Principal Data Scientist
Senior IC leadership role owning the technical direction of Alice's Data Science group: real-time multi-tenant content-moderation inference, automated GenAI red-teaming, and the Databricks/Spark lakehouse platform. Hands-on in a large Python, Rust, and PySpark monorepo serving NVIDIA Triton inference and multi-provider LLM systems.
Senior Software Developer — Malware Research Platform
Senior Software Developer leads end‑to‑end development of Alice’s internal malware research platform, collaborating with researchers to build Python async, agentic LLM tooling and ensure high adoption while mentoring the team.
Senior Software Developer — Malware Research Platform
Senior hands-on developer leading end-to-end development of an internal malware research platform, embedding with malware researchers to build agentic, LLM-powered Python tooling that boosts their daily productivity. Owns architecture, delivery, code quality, and mentoring, with ~5–10% of time spent doing actual malware research.
Senior Data Scientist
Sber's Data Science team seeks a Senior Data Scientist to build GenAI initiatives for its bank-branch channel: taking multi-agent LLM systems, production RAG pipelines, model fine-tuning, evaluations and MLOps from prototype to production using Python, LangChain/LangGraph, Qdrant, Docker/k8s and vLLM/Triton inference.
AI Architect – Databricks & Enterprise GenAI (Dubai, UAE)
Senior contract role (min 6 months, on-site in Dubai): lead enterprise Data & AI architecture for a major transformation — define Databricks platform standards (Unity Catalog, Mosaic AI, MLflow), design production GenAI/agentic systems on Azure OpenAI and AI Foundry, and govern MLOps, security, and AI governance while advising executives and vendors.
MLOps
MLOps engineer on SOGAZ's internal AI center team building a product ML platform with generative AI assistants and classic ML models. Day to day: designing AI system architecture, running GPU clusters and schedulers, CI/CD for models via GitLab CI, deploying and optimizing LLM/inference servers, and monitoring production models. Full office role in Moscow.