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Навыки: Kubernetes, Apache Airflow, Redis, Prometheus, LLM, NLP, A/B тестирование, Python. Специализации: ML разработчик. Обязанности: Разработка ИИ ассистентов, функциональных агентов в рамках проверки PoC для ИИ…
This role involves designing, training, and deploying machine learning models into production at scale for recommendation, personalization, and forecasting systems. You will own the end-to-end model lifecycle, working with technologies like PyTorch, TensorFlow, Kubernetes, and various cloud platforms to serve millions of users.
Data & AI Engineer at Allianz Services designing, building, and productionizing ML models and data pipelines using Python, classical ML frameworks (LightGBM, XGBoost, Scikit-Learn), Docker, Kubernetes, and Azure, in a hybrid role based in Barcelona.
Lead AI/ML model development for IHG’s Holiday Inn Club Vacations, building predictive and prescriptive systems to optimize conversion, engagement, and activation using Python, SQL, and cloud platforms.
Lead AI/ML model development for IHG’s Holiday Inn Club Vacations, building predictive and prescriptive models to optimize conversion, engagement, and activation using Python, SQL, and cloud platforms.
Build ML models to predict and reduce churn for streaming services, using Python, PySpark, and classical ML on large-scale user data.
Build ML models to predict and reduce churn for streaming services, analyzing subscription and engagement data to drive retention strategies.
Lead the design, development, and deployment of predictive and prescriptive AI/ML models to drive business outcomes like conversion and engagement for a hospitality partnership.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide.…
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
Data Scientists at Westpac will develop and deploy machine learning models, including predictive, NLP, and GenAI solutions, within a hybrid cloud environment. The role involves owning the full lifecycle of data science use cases, from problem framing to production, while collaborating with engineering teams to deliver explainable and maintainable solutions.
Design, develop, deploy, and maintain AI/ML models on AWS GovCloud using SageMaker, Databricks, PySpark, and Delta Lake for federal government programs, ensuring compliance with NIST AI RMF, EO 14110, and FedRAMP standards.
Mid-level Data Scientist building machine learning and applied AI solutions for clients using Python, Databricks, and cloud platforms (GCP, Azure) in a remote, Americas-collaborative role.
Senior ML Engineer leads end-to-end production ML systems for Amperity’s AI-first customer data platform, focusing on identity resolution, segmentation, and predictive modeling at scale. Owns architecture, deployment pipelines, and MLOps tooling while collaborating with cross-functional teams to deliver measurable business impact.
Build predictive models, time-series forecasts, and generative-AI tools to automate sales insights and optimize revenue for AMD’s Sales Operations team using Python, SQL, and ML frameworks.
Evaluate AI-generated data science solutions and ML outputs for accuracy and reasoning quality on a part-time hourly contract, using Python, SQL, and statistical modeling expertise.
Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and technical soundness, providing structured expert feedback to improve next-generation AI systems using Python, SQL, and ML frameworks.
Build and deploy ML systems on Instacart's Economics team, blending economic theory with machine learning to solve marketplace problems like matching, logistics, online advertising, and causal inference using Python, SQL, Pandas, scikit-learn, and XGBoost.
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