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Build, train, and deploy AI models (ML, DL, generative, RAG, agents, computer vision) in Python, then wrap them in APIs for production use.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and deploy AI-driven products to accelerate clinical trials and improve patient outcomes using LLMs, NLP, and MLOps on AWS.
About the role We are seeking a data scientist to advance our cell profiling and computational microscopy platform, transforming large-scale imaging data into biological insight. You will work closely with biologists,…
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Build and deploy AI models for national security using Striveworks’ Chariot AIOps platform, integrating ML with software engineering and DevOps to create operational capabilities.
Analyze and optimize digital data for Whirlpool’s ecommerce sites, using SQL, BigQuery, and Google Analytics 4 to track user behavior and improve marketing performance.
Build and deploy ML models to match renters with properties, optimize marketplace performance, and drive revenue growth using Python, SQL, and ML frameworks.
Build and maintain risk models (VaR, DV01, stress tests) in SQL and Python to generate regulatory reports for Colombia’s financial regulator and support new product launches.
A senior data scientist leads AI/ML projects for marketing, sales, and operations, designing and deploying production LLM and predictive systems to drive business decisions across fintech, media, and sports industries.
Develops AI-driven predictive models for clinical trial data in computational biology, integrating multi-omic datasets (genomics, transcriptomics, proteomics) to advance precision medicine and drug development at Amgen.
Build predictive and recommendation models (churn, AML, personalization) using Python, Spark, and MLOps in a fintech context.
Build and deploy AI models for national security using Python, TensorFlow/PyTorch, and Striveworks’ Chariot AIOps platform; process image, video, text, and geospatial data.
Build and ship production-grade AI features (LLM integrations, RAG, agents) for an iGaming affiliate platform, turning prototypes into scalable, high-load services.
Develops advanced algorithms for partial discharge monitoring and predictive maintenance in energy infrastructure using sensor data, signal processing, and machine learning to detect faults early and improve system reliability.
Build and validate pricing, market-making, and risk models for a high-frequency trading firm using Python, statistics, and financial mathematics.
Build and deploy ML models for game analytics and player behavior insights at a leading game studio.
Build and deploy ML models for fraud detection and risk scoring in a global fintech product company.
Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between…
Build and deploy ML models and BI dashboards that improve healthcare marketplace efficiency, using Python, SQL, and cloud data warehouses.
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