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Build and deploy ML/AI systems in Python using libraries like TensorFlow and PyTorch; develop scalable AI solutions for real-world applications.
Build quantitative models and ML pipelines to power equity research, turning financial data into research-grade signals and insights for analysts and clients.
Build and validate statistical and machine-learning models in Python/R to extract insights from large datasets and support data-driven decisions for clients.
Build and deploy optimization algorithms using metaheuristics and linear solvers to solve complex business problems in Python.
Build predictive models and recommendation engines to personalize offers, predict user LTV, and detect fraud in a high-scale adtech/gaming ecosystem.
Build and deploy ML models in Azure to extract insights and drive decisions using Python and cloud data tools.
Principal Data Science Engineer at Medtronic builds AI-driven analytics for surgical tech, using Python, ML, and cloud tools to deliver insights from signal data and improve operating-room decision support.
Build and scale Databricks and AWS infrastructure to power automated, reproducible ML workflows for DraftKings’ sports-betting platform.
Build and optimize cloud-based SQL databases and data pipelines in Azure, then collaborate with data scientists to develop Python-based ML models for analytics across fintech and healthcare.
Build and deploy AI-powered SaaS that integrates ML models and analytics into daily decision-making using Python, Node.js, and cloud-native tooling.
Job Requirements: 5-6 years of overall IT experience, with 2+ years of hands-on experience working with Neo4j,Cypher query language, and Graph Data Science (GDS) library. Strong proficiency in Python for ETL pipelines,…
Build and prototype ML models using Python, Pandas, NumPy, and Scikit-learn, with exposure to generative AI and LLM platforms.
Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment…
Build and deploy ML models that personalize content recommendations across Globo’s digital products using Python, TensorFlow/PyTorch, and cloud pipelines.
Location: Wokingham - Office based (hybrid working with 3+ days per week onsite may be considered) Start Day: ASAP Contract Rate: 460 per day inside IR35 Duration: 6 months initially Role Overview Our client is seeking…
Senior engineer designs, builds, and integrates enterprise solutions using AI/ML frameworks (e.g., PyTorch) and ERP systems, coordinating projects from design to deployment while ensuring on-time, on-budget delivery.
Build and deploy production-grade AI and Generative AI systems in Python, integrating LLMs and vector databases with cloud-native pipelines on AWS.
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
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