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Build AI-driven security automation, SOAR playbooks, and DevOps pipelines using Python, PostgreSQL, and Docker to enhance incident response and SOC operations.
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.
Researcher builds and deploys time-series forecasting models for quant-finance strategies using reinforcement learning; core stack includes Python, PyTorch, and Scikit-Learn.
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.
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.
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.
Lead a data science team to build AI/ML models and analytics for cross-border payments and money transfer products, driving revenue growth and client insights in a fast-paced fintech-like environment within a major bank.
Senior data scientist at PwC India building predictive models and dashboards with Python, SQL, and ML to deliver client insights and strategic decisions.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Builds and maintains PySpark-based ML pipelines for anomaly detection and root cause analysis in semiconductor manufacturing, optimizing distributed data processing and deploying scalable models in production.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Principal Data Scientist builds and deploys large-scale AI systems, autonomous agents, and ML pipelines at Walmart, using PyTorch, LangChain, and multi-cloud platforms.
Build and deploy ML models for an Australian payments company using AWS SageMaker, Python, and MLOps practices.
Build predictive models and analyze customer data to tailor loan offers, optimize marketing campaigns, and drive conversions for a consumer-credit bank.
Senior Data Scientist at a fast-growing fintech builds and deploys ML models to improve customer understanding, product decisions, and member acquisition/retention using Python, SQL, and cloud tools.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Principal Data Scientist at i2c Inc leading fraud detection and AI systems, including transaction fraud, RAG chatbots, and agentic digital-CSR, while managing a team of ~20 data scientists.
Build and deploy large-scale ML systems for personalized recommendations, search, and ads at Reddit, using PyTorch/TensorFlow and distributed pipelines.
Build and deploy large-scale ML systems for recommendations, search, ads, and LLM-driven features that power Reddit’s community platform.
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