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Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Senior DevOps Engineer designs and automates cloud infrastructure and CI/CD pipelines using Terraform, AWS, Azure, and GitHub Actions to deploy containerized apps on Kubernetes.
Builds and maintains core ML infrastructure and full-stack systems that power Wayfair’s generative visuals for home visualization, using Python, FastAPI, React, and cloud platforms.
Build and deploy large-scale ML systems to optimize ad delivery and revenue, collaborating with product and engineering teams in a remote-first environment.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Build and deploy GenAI solutions like LLM-powered apps and RAG pipelines using Azure OpenAI and LangGraph for enterprise clients.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build and optimize ETL/ELT pipelines, data lakes, and warehouses in Python on AWS/Azure to feed AI models and reports, while ensuring data quality and security.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Build and own Flinks’ data and ML platform: BigQuery, dbt, Airflow, Pub/Sub, Kubeflow, Vertex AI, and FastAPI to turn models into production-grade services.
Build and optimize scalable data pipelines, ML workflows, and AI systems on Databricks using Spark, Delta Lake, MLflow, and Mosaic AI.
Build and deploy AI/ML models in Python for HR software, integrating them with backend systems using Django and Kubernetes.
Build and maintain cloud infrastructure for AI models, automate deployments with CI/CD, and optimize GPU-powered production environments using DevOps/MLOps tools like Terraform, Kubernetes, and MLflow.
Designs, builds, and maintains secure, scalable cloud infrastructure for AI/ML platforms and DevOps tooling, using Kubernetes, Helm, and CI/CD pipelines while mentoring teams.
Build NLP pipelines with Flair/BERT/LLMs, process large datasets in PySpark/Pandas, and deploy ML models via Flask APIs and MLflow for Citi’s fintech and AI products.
Build and maintain scalable ML pipelines on Azure, automating training, deployment, and monitoring with DevOps practices and Kubernetes.
Чем предстоит заниматься: ✨Внедрять ML-модели в продакшн: разрабатывать и интегрировать пайплайны для скоринга, оценки рисков и других бизнес-задач в промышленную среду. ✨Строить надёжные пайплайны обработки данных:…
Research and build deep-learning models for real-time video analysis, computer vision, and cybersecurity, then deploy them and publish findings in top-tier journals.
Build and deploy scalable AI/ML systems using Python, Azure, Databricks, and MLOps/LLMOps tooling to solve business problems at a sustainability-focused company.
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