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Builds and maintains CarGurus’ cloud-hosted ML platform, deploying Python models to production APIs, enhancing data pipelines, and integrating AI systems (recommendations, search ranking, computer vision) into automotive marketplace products.
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
The Cloud AI/ML Engineer will refactor and deploy machine learning models into production-ready batch processing jobs within an agile healthcare environment. The role focuses on optimizing model performance and compute costs using AWS, Python, and various ML frameworks.
Location: Europe only Employment type: Full-time, Remote About the Role We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and…
The Data Scientist will design and develop end-to-end machine learning and analytical solutions to optimize passenger experience and operational efficiency. The role involves building models, implementing generative AI for cabin crew, and translating complex business problems into actionable data-driven insights using GCP, Python, and various data science libraries.
Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
The Data Scientist will analyze complex datasets, develop machine learning models, and build ETL pipelines to drive business decisions. The role involves collaborating with cross-functional teams and communicating insights using Python, R, and various ML frameworks.
Develop and deploy AI/ML models for national security applications, analyzing large datasets to extract insights and building scalable backend services and user interfaces.
As tuas responsabilidades Enquanto Consultant na #teamlidl, és o guardião do selo de qualidade: garantes que o negócio flui sem 'quebras' e que a produtividade é o artigo mais fresco do nosso sortido! Atuarás…
Lead AI/ML initiatives at a software supply chain security company, building models for malicious behavior and anomaly detection as well as GenAI experiences using LLMs, RAG, and agentic systems, primarily with Python, Databricks, and LLM APIs.
Data Scientist applying ML to marketing problems (MMM, forecasting, attribution) at a media advisory firm in Barcelona. Day to day involves building models in Python, writing SQL, managing ELT pipelines, and presenting findings to clients.
Build and deploy geospatial AI models to detect pipeline anomalies and dune migration using satellite imagery, SAR techniques, and PyTorch, for a global IT services client.
GenAI & ML intern at BTG Pactual building intelligent agents, LLM-based products, and classic ML models at scale using Python, containerized deployment, and LLM services.
Secure AI systems by assessing LLM security, implementing controls for training/inference pipelines, and defending against prompt injection, data poisoning, and adversarial attacks.
Who We Are VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and award-winning…
Мы — технологическая команда, создающая решения для спорта. Наш продукт направлен на трансформацию и объективизацию судейства. Мы ищем Data Scientist в R&D на стыке компьютерного зрения, анализа движения человека и…
Software Development or Data Science intern (4–8 months, hybrid in Toronto) building financial products using React, TypeScript, Ruby on Rails, Python, Java, Kotlin, or data-science tools like Pandas, scikit-learn, and SQL.
Bridge data engineering and quantitative research by preparing, validating, and delivering clean research-ready datasets and features for ML models, using Python, SQL, and LLM-based workflows at a systematic investment firm.
Senior Data Scientist focused on AI Quality & Evaluation, building evaluation frameworks, golden datasets, and LLM-as-a-Judge systems for a healthcare voice-AI company using Python, NLP, and speech technologies.
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