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Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Develops scalable fintech payment systems (e.g., Google Pay) at Google, focusing on full-stack engineering, system design, and cross-team collaboration to build secure, user-friendly payment solutions.
Designs and implements next-gen storage I/O paths for Google Cloud’s Persistent Disk, offloading processing to hardware accelerators like NICs to optimize VM storage performance at massive scale.
Builds and maintains scalable cloud ordering infrastructure that automates subscriptions and contracts for Google Cloud, ensuring reliable fulfillment and customer satisfaction.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Designs AI agents and automated workflows to streamline Google’s launch and governance processes, reducing developer toil and accelerating feature delivery via AI-driven solutions.
Builds and enhances Google’s F1 Query infrastructure, focusing on distributed systems, query execution, and data processing for AI/ML workloads.
The role involves transforming data into actionable insights to drive growth for JustDone, an AI writing assistant for academic audiences. Daily tasks include analyzing user behavior, revenue streams, and product metrics, building dashboards, and collaborating with AI/NLP teams to optimize product development.
En Flux IT diseñamos tecnología para empresas que quieren crecer, y lo hacemos desde una comunidad que se impulsa a mejorar cada día más. Somos más de 300 fluxers que hacemos equipo para acompañar la evolución digital…
Job Description Position Summary Base-2 Solutions is seeking a Data Scientist to perform research-level data analytics at a customer site in Bethesda, MD. The role supports programs advancing research and advanced…
This role involves designing, training, and validating machine learning and deep learning models and deploying them into production environments. The position is hybrid, requiring approximately two days of on-site work per month in Barcelona.
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify…
Develops AI agents and LLM systems for Sberbank’s ATM network, including pipeline building, model experimentation, and quality assessment. Works on both modern AI solutions (LLMs, RAG) and traditional ML/NLP tasks like text classification and embeddings.
IBM is seeking a Data Scientist to architect and deliver AI solutions, focusing on foundation models, large language models, and cognitive computing. The role involves managing the full AI project lifecycle using Python, various AI frameworks, and cloud platforms to solve complex business problems.
Develops scalable iOS features for Fitbit Premium subscriptions, focusing on user engagement and subscription growth via AI-driven health coaching and smart device integration.
Develops AI models for e-commerce logistics, including address verification, sales forecasting, and package trajectory prediction using NLP, LLMs, and deep learning.
Builds ML models for e-commerce supply chain forecasting, logistics optimization, and demand prediction using time series, deep learning, and NLP/LLM techniques.
The AI Engineer will design, develop, and deploy scalable agentic AI systems and generative AI applications using the Databricks platform. This role involves collaborating with data scientists and engineers to integrate AI models into production environments while utilizing Python, SQL, and modern cloud architectures.
Lead a team of ML/AI engineers, owning the ML/AI product vision and translating local models into enterprise-grade products on PureFacts' SaaS platform using Python, ML frameworks, MLOps, and Azure cloud infrastructure.
Builds and maintains full-stack software solutions for Google Cloud, focusing on scalable systems, AI/ML integration, and cloud infrastructure. Works across front-end (UI/UX) and back-end (graph-based systems, APIs) to optimize performance and enhance user experiences.
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