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Build and optimize speech AI models (ASR, diarization) for medical applications, including data pipelines, training, and inference in Python/PyTorch.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build open-source developer tools in Go to streamline Linux-based workflows, containers, and cloud integration for engineers using Ubuntu.
Lead AI projects and build real-time decision systems while mentoring junior data scientists in a hybrid role.
Senior Database Administrator to own and optimize PostgreSQL and AWS database infrastructure for a global payment platform, ensuring high availability, security, and performance for mission-critical systems.
Build and deploy deep-learning NLP models, fine-tune LLMs, and implement RAG and agentic AI systems while maintaining MLOps pipelines.
Build, deploy, and maintain production-grade ML models and MLOps pipelines using Python, Docker, Kubernetes, and cloud platforms.
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Oversee AI/ML governance at a major bank: set ethical standards, validate models, enforce MLOps controls, and ensure compliance with regulations across credit, fraud, and marketing systems.
Build and productize Mosaic AI into a self-service platform, designing agent architectures and MLOps pipelines for Aderen.
Design and build end-to-end agentic AI systems for industrial and water-treatment operations, focusing on reliability, safety, and continuous deployment.
Architect robotics perception systems integrating computer vision, AI/ML, and sensor fusion for outdoor vehicles and robotic fleets, using ROS, TensorFlow, and cloud platforms.
Senior Data Scientist builds and deploys ML models across credit risk, fraud, and growth at a BNPL fintech, using Python, SQL, and AI tools to drive business decisions and scale lending to users without credit history.
ML Engineer/Data Scientist maintains and evolves ML models in production for a banking project, using Python, PySpark, BigQuery, and GCP while monitoring model drift and performance.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Builds and scales a self-service, multi-tenant AI agents platform using Databricks, Python, and MLOps practices.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
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