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Senior Software Engineer, Google Distributed Cloud AI
Build and optimize distributed AI serving infrastructure for Google Distributed Cloud, focusing on LLM inference, model life-cycle management, and load balancing across hybrid environments.
Senior Software Engineer, Distributed Systems Infrastructure, Google Ads
Design and build next-gen distributed caching and database architectures for Google Ads, optimizing global-scale storage and replication while integrating LLM-based resource governance.
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Data Scientist Middle/Senior Scoring
Build and deploy ML models for credit scoring, fraud prevention, and predictive analytics in fintech and e-commerce using Python, Spark, and SQL.
Аналитик данных (NLP/Голосовой помощник)
Analyze voice-assistant conversations and other data to build datasets, train and test ML models for intent classification and entity extraction, and monitor model performance in production.
Software Engineer Manager II, Google Cloud Storage
Manage a team of software engineers building Google Cloud Storage, guiding technical strategy, reviewing code, and aligning team goals with Google’s infrastructure needs.
GenAI Engineer / AI Builder/ AI Agent Associate / AI Application Specialist
Senior GenAI Engineer designs and builds AI agents and workflows to automate business processes and improve productivity across functions like risk management and customer support using Python, LLMs, and agentic systems.
Data Scientist с
Builds ML/AI models for fintech projects, including banking systems, using Python and Spark. Focuses on predictive modeling, NLP, and DL techniques while supporting full-stack development from requirements to deployment.
Machine Learning and AI Engineer
Build and deploy transformer-based generative AI models and NLP pipelines for PitchBook’s financial data platform using PyTorch, LangChain, and vector databases.
Senior ServiceNow Architect
Design and lead ServiceNow AI solutions (Now Assist, GenAI, Predictive Intelligence) to automate workflows and improve enterprise service management at a global tech company.
Data Scientist
Build and evaluate ML models for entity matching using embeddings, LLMs, and NLP on messy, multilingual datasets; design experiments, metrics, and scalable inference pipelines.
Senior AI Engineer
Build and deploy scalable AI systems, including agentic frameworks and ML models, using Python and cloud platforms like AWS. Lead cross-functional teams to integrate AI solutions into production environments.
Associate Machine Learning Engineer
Build and deploy scalable ML models for finance using Python, Spark, and cloud platforms like Azure ML and Databricks.
Data Engineer
Designs, builds, and maintains scalable ETL pipelines and data platforms (lakes, analytics, AI) using Python, Java, and cloud/big-data tech to process structured and unstructured data.
Principal Data Scientist
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
Entry Level Data Scientist/Analyst/Java full stack developer
Build and evaluate AI models, develop data pipelines, and create APIs using Python, SQL, and machine learning libraries for a client project.
Software Engineer
Builds and optimizes cloud-based AI and search systems using Python, C++, and Azure, collaborating with teams to deliver scalable solutions and maintain system reliability.
Senior Data Analytics Engineer
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Principal AI/ML Scientist
Principal AI/ML Scientist at Lululemon designs and delivers enterprise-scale AI solutions (e.g., generative AI, multimodal systems) to transform retail operations, product innovation, and customer experiences.
ML Engineer, AI Platform (LLMs & Retrieval)
Build AI-driven features using LLMs, RAG, and Agentic AI to enhance Workday’s HR/finance products, deploying scalable ML models and APIs with Python.