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Buscamos um profissional Sênior com perfil híbrido, capaz de transitar entre o desenvolvimento de modelos (MLE) e a engenharia de plataforma/infraestrutura (MLOps). Nosso time cuida de todo o ciclo de vida dos modelos,…
Senior Data Engineer builds and scales Python-based data pipelines (Pandas, PySpark, dbt, Airflow) on Snowflake/BigQuery, ensuring reliability and performance for analytics and AI workloads.
Senior Data Scientist builds ML models (XGBoost, time-series, recommendations) end-to-end, engineers features from terabyte-scale data, and deploys solutions in production for a top-3 Russian digital bank.
Lead the design and productionization of ML systems for auto-financing at scale, collaborating with data science and product teams to build, deploy, and monitor models using Python/Scala/Java and cloud platforms.
Build and maintain scalable data pipelines and models on Palantir Foundry to power Nscale’s platform and customer insights, ensuring reliable data products for operations and analytics.
Senior Data Engineer builds and scales web-scale data pipelines for AI research, focusing on crawling, normalization, and metadata governance to power sovereign AI models like Ilmu.
Design and optimize large-scale data pipelines and cloud infrastructure for a global bank, using PySpark, Databricks, and Snowflake, while supporting AI initiatives like RAG and Agentic systems.
Build and deploy predictive weather models and spatio-temporal ML systems to power B2B weather intelligence products and optimize adtech performance using Python, PyTorch/TensorFlow, and distributed frameworks.
Build and improve ML systems that make real-time underwriting decisions for Affirm’s buy-now-pay-later checkout, using Python, PyTorch, and distributed data tools.
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Build and deploy production-grade ML services for adtech, focusing on scalable pipelines, MLOps, and cloud-based model serving on GCP.
Build and maintain Voleon’s high-performance Batch and Realtime Streaming platform, enabling ML researchers to efficiently discover, access, and manage features for trading systems.
Senior SRE builds and maintains Voleon’s AI research compute clusters, ensuring 24/7 uptime and performance for ML workloads across on-prem and cloud using IaC, observability stacks, and SRE practices.
Builds and optimizes a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms using Python, HPC, and cloud tools.
Build and deploy generative AI models and LLM-based systems on AWS for clients, focusing on production-grade RAG, agentic workflows, and ML pipelines.
Researcher to design and run ablation experiments that shape the pretraining data mix for a frontier LLM, turning hypotheses into measurable gains on public benchmarks.
Build and maintain scalable data pipelines for machine learning using Python, PySpark, SQL, and cloud platforms, collaborating with cross-functional teams to deliver AI solutions.
Build and scale high-throughput, low-latency backend services and data pipelines in Typescript/Node.js and AWS for a SaaS Sales Performance Management platform.
Design and build scalable data pipelines, ML models, and analytics tools to accelerate drug research and development, using Python/R, Spark, and cloud platforms.
About Headwater Science Headwater Science (formerly NoviSci) is a data science and methods company specializing in principled, reproducible evidence generation for complex clinical and regulatory challenges. With deep…
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