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Senior Machine Learning Engineer
Build and deploy ML models for search, pricing, routing, and generative-AI features that power Trainline’s travel platform, collaborating with data scientists and engineers.
ML/AI инженер
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Databricks Solution Architect
Design and prototype Databricks Lakehouse architectures for enterprise clients, integrating AI/ML use cases and guiding delivery teams on best practices for data pipelines and governance.
Forward Deployed Engineer (AI/GenAI)
Build and deploy production-grade AI solutions for enterprise clients using LLMs, RAG, and agent frameworks, owning the full lifecycle from discovery to optimization.
Principal Architect, Databricks
Design and lead enterprise Databricks Lakehouse platforms on AWS/Azure/GCP, including Unity Catalog, Delta Live Tables, and ML pipelines, while enforcing data governance and cost optimization.
AI/ML Data Engineer (TS/SCI with Poly Required)
Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
MLOps engineer
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Senior системный инженер (Systems / Infrastructure Engineer)
Senior системный инженер отвечает за управление, стандартизацию и автоматизацию инфраструктуры от железа до ОС в масштабной гибридной среде (600+ объектов), включая миграцию на Kubernetes и оптимизацию Big Data.
Staff Machine Learning Engineer
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Sr. Machine Learning Engineer
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Manager,Software Engineer-AI
Lead a team of software engineers building AI/ML models and platforms for Conga’s products, including feature stores, model training, and monitoring pipelines.
Инженер по ИИ/AI Agent Engineer (LLM & Agentic Systems)
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Data Scientist (Маркетинг)
Builds uplift and RFM models in Python to optimize marketing campaigns and A/B tests for an e-commerce company.
Data Scientist (FinTech)
Build and tune credit-scoring models (logistic regression, gradient boosting) to predict customer defaults, run A/B tests on risk rules, and translate data insights into business decisions for a FinTech lender.
Solution Architect (ГигаЧат Бизнес)
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Data Science Engineer
Builds and deploys end-to-end ML models (XGBoost, PyTorch/TensorFlow) for energy-sector digital transformation, collaborating cross-functionally to solve business problems with Python/SQL and cloud platforms (AWS/GCP/Azure).
Junior Fraud Data Scientist
Assist in detecting and mitigating fraud by analyzing transactional data, building and tuning ML models (XGBoost, LightGBM), and maintaining monitoring dashboards in a fintech payments platform.
LLM Engineer (Центр Практического ИИ)
LLM Engineer builds, fine-tunes, and deploys large language models for banking use-cases, handling full ML lifecycle from data prep to production inference in strict SLA environments.
DevOps / MLOps Engineer (Platform V AI-платформа)
Build and maintain the AI platform’s infrastructure, deploying LLM models and Python/Java services, managing Kubernetes clusters, and automating CI/CD for production AI services.