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Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Consultant builds and deploys AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
Build and maintain scalable data pipelines and ML feature stores for industrial intelligence, using Spark, Python, and Databricks to turn automotive and supply-chain data into real-time insights.
Builds backend systems for a machine-learning platform, designing APIs and scalable infrastructure to support ML model development, analysis, and visualization.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Design data models and pipelines for AI workloads, implement MLOps automation, and deploy scalable batch/streaming systems to support agentic workflows.
Senior Data Engineer builds and maintains Databricks pipelines for an AI-driven CRM platform, optimizing data flows, costs, and reliability to power global revenue intelligence from ERP/CRM sources.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands like NFL and Lululemon.
Leads a team building scalable data platforms on Azure/AWS, using Spark, Hadoop, and Airflow to power enterprise analytics and AI solutions.
Principal Data Engineer builds and scales the data platform at JobGet, a mobile-first hiring platform, using Snowflake, dbt, Kafka, and real-time streaming to power AI-driven job matching and analytics.
Builds Python-based banking backend services and ML/AI pipelines, integrating financial systems and ensuring regulatory compliance.
Build and maintain Python-based banking backend services and ML/AI pipelines, integrating with financial systems and ensuring regulatory compliance.
Build and test ML models for quant research and feature engineering in trading, focusing on market inefficiencies and robust data pipelines.
Build and optimize production fraud-detection models using Python, SQL, and Azure Data Lake to reduce false positives and improve accuracy.
Build and maintain Go-based data pipelines, real-time analytics, and ML models for a large-scale messaging platform using Kafka, ClickHouse, and Kubernetes.
Design and own the AI architecture for an agentic patent-intelligence assistant, ensuring scalable, secure LLM-based systems and retrieval workflows aligned with responsible-AI standards.
Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
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