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Data Scientist
Build and test predictive models for healthcare data, clean datasets, and present insights to non-technical teams using Python/R and ML libraries.
Data Scientist
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
Senior Data Scientist
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.
Data Scientist / ML Engineer (Computer Vision), Junior+ / Middle
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
Главный менеджер по аналитике данных и искусственному интеллекту
Главный менеджер возглавляет функцию аналитики данных и ИИ/машинного обучения департамента, превращая городские данные в практические инсайты и решения на основе искусственного интеллекта для операционной деятельности…
Deep Learning Researcher (Middle / Senior)
Researcher builds and deploys time-series forecasting models for quant-finance strategies using reinforcement learning; core stack includes Python, PyTorch, and Scikit-Learn.
Data Scientist
Build and validate statistical models and ML pipelines in Python to analyze data and support business planning decisions.
Associate AI Engineer
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
Principal Data Scientist
Principal Data Scientist builds ML models and AI tools to guide product strategy for Atlassian’s Service Collection, mentors junior scientists, and partners with engineering and product teams.
Senior Data Scientist
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
ML/AI Engineer
Build, test, and deploy AI/ML models and GenAI workflows in Python, integrating them into business systems using cloud platforms like Snowflake and CI/CD pipelines.
[EAF] Lead AI Engineer
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Senior Software Engineer - Customer Experience Engineering
Build and refine ML/LLM-based systems to automate customer support and troubleshooting at Snowflake, using Python/Java services and Kubernetes.
Data Scientist
Build and deploy ML models for retail forecasting, personalization, and computer vision/LLM use cases using Python, Spark, and cloud platforms.
Senior Manager, Data Science
Leads advanced data-science projects to build and deploy ML models that optimize Walmart’s supply-chain strategy, using Python/SQL and collaborating with cross-functional teams to translate data into business impact.
Senior Data Scientist
Build and deploy computer vision and generative AI models for retail applications like visual search, personalized recommendations, and fraud detection using PyTorch, diffusion models, and multimodal systems.
AI ML Engineer
Build and deploy ML models end-to-end: train, optimize, and package solutions while setting up MLOps pipelines, monitoring, and data governance for production AI systems.
Senior Manager - Data Science
Lead a team of data scientists to build ML/AI models and GenAI analytics that forecast sales performance, detect gaming behaviors, and inform executive decisions for American Express’s commercial payments business.
Applied AI / ML Lead Software Engineer
Lead the design and delivery of LLM-powered AI agents and workflows for JPMorganChase’s internal employee platforms, integrating secure, scalable AI solutions to boost productivity.
Machine Learning Modeling Lead - Credit Modeling
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.