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Designs and builds AI/ML models (LLMs, generative AI, or computer vision) using frameworks like TensorFlow and PyTorch, integrates them into applications, and optimizes performance in production.
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Build ML models for user growth at Binance, designing lifecycle models (LTV, churn) and A/B tests to drive measurable improvements.
Senior role building and tailoring explainable credit-risk ML models for African MSME lending, using Python, XGBoost, and feature engineering from telco/bureau data.
Build and automate predictive models and ETL pipelines on Databricks/Azure to power Awin’s adtech reporting and campaign optimization, using Python, PySpark, and ML frameworks.
Senior ML Engineer at Stafide in Amsterdam builds and deploys cloud-native AI models and data pipelines using Python, SQL, and ML libraries to drive enterprise decision-making.
Build and maintain data pipelines, cloud infrastructure, and AI models in Python/SQL while learning on real client projects with mentorship.
The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at…
Design and deploy AI models using Python and frameworks like TensorFlow/PyTorch to solve complex problems and enhance products.
Designs and maintains data pipelines and infrastructure using Azure Databricks, Python, and Spark to support analytics and ML models for a global logistics company.
Design and deploy GenAI solutions (RAG, LLMs) with Python and ML libraries, collaborating with stakeholders to solve business use cases while ensuring data security and compliance.
Build and deploy AI/ML models and NLP systems using Python, PyTorch, and scikit-learn to create self-learning applications and scalable AI solutions.
Build and deploy machine learning models on Azure using Python, Azure ML, and Databricks to deliver data-driven insights and predictive analytics for business stakeholders.
Build AI-powered full stack apps for food & beverage supply chains, integrating ML models into production systems and user interfaces using Python, React, and cloud-native tools.
Builds and integrates ML models for data generation and privacy, writes Python code, and collaborates with engineers to deploy models via REST APIs on cloud platforms.
Job Responsibilities Design, develop, and deploy AI‑powered solutions. Build scalable AI systems and integrate AI / Machine Learning (ML) models into applications, optimizing AI workflows for production. Collaborate…
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Develop, train, and integrate AI/ML models for government systems using Python, TensorFlow, and PyTorch, ensuring compliance with DoD cybersecurity and responsible AI policies.
Build and scale AI infrastructure for industrial automation, bridging research and production with MLOps and distributed systems.
Build and deploy ML and generative AI models for manufacturing use cases like predictive maintenance and quality control, working with Python, PyTorch, and RAG pipelines in a hybrid Limerick role.
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