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Builds scalable, secure Python backend services and RESTful APIs, integrating databases and cloud platforms while collaborating with frontend and DevOps teams.
Build and maintain ML models and analytics pipelines in Python/SQL on GCP, then deploy and monitor them using MLOps practices and tools like Bokeh and Git.
Build, test, and deploy ML models and AI applications using Python, PyTorch, TensorFlow, and data tools like Pandas and NumPy.
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:…
Analyze Disney+ streaming content performance and audience engagement using SQL, Python, and visualization tools to drive data-driven decisions for LATAM.
Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
Build and maintain data pipelines, marts, and dashboards for a large crypto staking provider, using SQL, Python, Airflow, dbt, and BigQuery to track yield, clients, and network performance.
Analyzes financial data and logistics KPIs, automates reporting in Excel via VBA/macros, and builds Python scripts for data processing and web scraping.
Middle Data Analyst builds SQL queries, automates reports, and creates BI dashboards to analyze product and business data, using Python, Excel, and Airflow.
Build and deploy AI/ML models and LLM-based assistants for pharma-market analytics, including RAG systems and data-driven decision tools.
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Build and deploy ML models for credit risk scoring and fraud detection using Python, SQL, and gradient boosting; work with large credit-history datasets in production.
Build, train, and deploy ML/DL models (including LLMs) for clients, using Python, SQL, Spark, and cloud platforms, while following MLOps practices.
Build and maintain cloud governance tools using boto3, Ansible, and OpenShift to optimize AWS/GCP costs and enforce policies for Red Hat’s product teams.
Разрабатывает и поддерживает отчёты в Power BI, пишет Python-скрипты для ETL и автоматизации, исправляет ошибки в DAX и моделях данных.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Build and maintain cloud data pipelines and platforms for clients using AWS/GCP/Azure, Snowflake, Databricks, Airflow, Spark, and Python.
Build, train, and deploy ML/DL models (including computer vision) to solve business tasks, focusing on data prep, feature engineering, and production monitoring.
Working student builds and improves cloud-based ELT pipelines, self-service analytics, and predictive pricing models using SQL, Python, and cloud tools.
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