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Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Build and deploy ML models for financial forecasting, risk analysis, and strategic decision-making using Python, time-series techniques, and cloud platforms.
Build and optimize GenAI systems using LLMs, prompt engineering, RAG, and agent workflows with frameworks like LangChain. Integrate APIs, vector databases, and external tools for scalable AI solutions.
Build and improve NLP models for text-based tasks like classification and sentiment analysis using Python and libraries such as NLTK, SpaCy, and Transformers.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
Build and deploy production-grade ML models and RAG pipelines to replace rule-based systems, focusing on model quality, evaluation, and self-hosted LLM inference.
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
Designs and architects AI/ML solutions integrating batch and real-time inference using Spark, Kafka, and Jupyter Enterprise Gateway within a data lakehouse.
Build and fine-tune AI models using Python, TensorFlow/PyTorch, and cloud services like AWS Bedrock and Azure OpenAI to deliver industry-specific solutions.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Senior Data Scientist builds and maintains production ML models and data pipelines in a cloud-native environment using AWS SageMaker or similar.
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Build and maintain a TypeScript-based subscription platform using Next.js and Nest.js, integrating with Shopify APIs to deliver scalable billing solutions for global brands.
Build and optimize a Databricks-based data and ML platform that powers automated lending, credit risk scoring, and transaction categorization for a fintech startup.
Own and automate ML pipelines on Azure and Databricks, from data ingestion to model monitoring, ensuring reliability and observability for applied AI systems.
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Lead a team building AI-powered data and ML systems for eBay sellers, including pricing intelligence, demand recommendations, and seller analytics using Java/Kotlin, Python, Spark/Scala, and LLMs.
Build and deploy ML models for a sales-enablement platform, collaborating with data science and product teams to improve model performance and scalability.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
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