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Design and deploy production-grade machine learning models and MLOps pipelines for enterprise clients across energy, financial services, and other sectors, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/Azure/GCP.
Develops AI-powered audience analytics and media intelligence solutions using real-time data; builds production ML/PySpark pipelines on Databricks with MLOps best practices.
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Build and deploy computer vision models end-to-end, from data curation to production, while collaborating with product and engineering teams to integrate AI-driven features.
Senior AI Engineer at Ramboll3 in Aarhus, Denmark will shape the company's AI practice across products, focusing on ML/LLM engineering methods, standards, and practices. The role involves establishing evaluation practices, MLOps foundations, building production-grade LLM features, mentoring, and ensuring responsible AI usage with core technologies including Python, LLMs, and on-prem GPU infrastruc
DevOps engineer at Alfa-Bank's MLOps center, responsible for optimizing BigData and streaming systems, configuring infrastructure, and developing tools for ML lifecycle management, using technologies like Spark, Kubernetes, and Python.
Design and build GenAI agents that assist Bosch engineers with tasks like requirements analysis, documentation, and failure analysis using LLMs, embeddings, and vector databases.
Build and manage cloud-based ML infrastructure, CI/CD pipelines, and containerized AI apps using AWS/Azure/GCP, Docker, Kubernetes, and Terraform on-site in Tokyo.
Мы делаем рекомендательную систему, которая является одним из ключевых ML-сервисов в Okko. Простые задачи мы уже решили, остались интересные. Обязанности: исследование и реализация алгоритмов и практик машинного…
Senior consultant at Mandiant/Google Cloud advising JAPAC enterprise executives on cyber resilience through security program assessments, threat modeling, table-top exercises, and AI security services.
Зарплата: до 300000 RUR (на руки) Ищем Middle+/Senior Data Scientist. Команда специализируется на разработке моделей машинного обучения для сегмента физических лиц и предоставлении модельных сервисов для…
Builds and maintains MLOps infrastructure to deploy, monitor, and scale AI models in production for an edtech platform, using MLflow, Kubernetes, and CI/CD pipelines.
A Data Engineer at VTB Bank responsible for evaluating model risk and validating models, focusing on data quality analysis, data warehouse preparation, automation of validation processes, and working on data lakes and MLOps, using SQL, PySpark, and Python.
Day-to-day: adapt neural models (NLP/CV) for bank tasks, prep datasets, train on GPU, develop LLM/multimodal pipelines, deploy. Core tech: Python, PyTorch/TensorFlow, GPU.
Data Scientist building end-to-end predictive ML models—from Snowflake data exploration through AWS SageMaker deployment—to drive customer retention, marketing strategy, and growth for a Dutch lottery that funds charities.
Principal Software Engineer for GATK, HTSJDK, and Picard at Broad Institute; takes ownership of maintaining these genomics tools, advancing file-format standards, driving releases, supporting the community, and using AI-assisted development. Core technologies include Java/JVM, Python, GCP, and GA4GH standards.
Ищем эксперта в нашу команду для участия внедрения рисковых моделей Банка на Индийском направлении. Внедряемые модели участвуют в процессах кредитования и имеют высокое влияние, поэтому с одной стороны - скорость…
Build and deploy ML models, design data pipelines, and create dashboards to turn large datasets into business insights using Python, R, and modern AI frameworks.
Lead Data and AI Solution Engineer responsible for architecting and delivering innovative data and AI solutions, including GenAI, Agentic AI, and cloud-based architectures (AWS/Azure/GCP), while driving AI governance and mentoring teams.
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
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