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This role involves extracting, integrating, and analyzing large-scale customs data to support risk assessment and reporting. The analyst will use Python, SQL, and Power BI to build predictive models, create dashboards, and optimize data workflows within the European Commission's analytical environments.
Lead a team building ML infrastructure and evaluation pipelines for autonomous-vehicle perception systems, using Python, C++, and distributed frameworks like K8s and Ray.
This role involves designing Reinforcement Learning environments and technical tasks to evaluate AI models on complex software engineering workflows like debugging and CI/CD. The engineer will use their expertise in languages like C++, Python, or Rust to create reproducible benchmarks and assess AI-generated code quality.
The Senior Machine Learning Engineer will build and deploy AI-based solutions for ad creative and campaign performance within Smartly's advertising platform. The role involves working with large-scale datasets, strengthening MLOps infrastructure, and collaborating with cross-functional teams to productionize high-impact ML applications.
The Technical Program Manager will serve as the operational backbone for Doctolib's AI Research Lab, managing processes, cross-functional roadmaps, and academic-industry collaborations. The role requires balancing research needs with product goals while navigating complex administrative and technical dependencies.
This role involves building and maintaining a large-scale product graph for Google Commerce using Generative AI, LLMs, and machine learning infrastructure. Engineers will develop code, optimize AI models, and collaborate on system design to improve product understanding across Google's shopping surfaces.
Senior Software Engineer developing and implementing GenAI solutions for Google Ads, leveraging ML infrastructure and collaborating on product development for advertising technologies.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Business Domain Expert — AI Model Evaluation Pilot (Admin, Marketing, HR, Accounting)…
Build scalable backend services and integrate AI capabilities (LLM orchestration, RAG, fine-tuning) into newsroom platforms using Node.js, TypeScript, LangChain, and cloud infrastructure.
American Fan is a manufacturer of air movement equipment for Industrial, HVAC, Commercial, Marine, and specialty markets. Throughout our history, the quality and reliability of our products has been built upon a solid…
Overview Location: Poland | Portugal | Remote The Manager, Software Engineering is responsible for developing and leading technical teams in the delivery of quality products in a timely manner. This role collaborates…
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
Senior Data Scientist applying advanced analytics, machine learning, and generative AI (LLMs, RAG pipelines, vector databases) to Medicare/Medicaid claims data to detect fraud, waste, and abuse.
Evaluate AI-generated data engineering implementations—ETL/ELT pipelines, data warehouses, distributed systems—using frontier AI coding agents, with Python and SQL as core technologies.
Data Science Engineer focused on RapidMiner, responsible for data science, ML model development, MLOps, and customer-facing implementation across India.
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
Lead the design and architecture of large-scale, cloud-native data systems at JPMorgan Chase, defining standards for databases, AI/ML integration, and AI-assisted engineering practices while guiding teams and senior leadership.
Designs and builds AI/ML-powered automation solutions, including RAG pipelines, vector databases, and agentic workflows, while improving CI/CD and DevOps processes for Nokia’s products.
Lead data-science strategy and execution for drug development, applying AI/ML and advanced analytics to clinical, omics, and biomarker data to inform clinical decisions and regulatory strategy.
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