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Build and deploy ML models on GCP to power business decisions, collaborating with data scientists and stakeholders to integrate scalable AI solutions.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Build and maintain ML models and ETL pipelines in Python to power business decisions and dashboards.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Build and deploy AI-driven solutions like chatbots and ML models while collaborating with clients to translate business needs into practical generative AI applications.
Role Overview We are seeking an AI System Engineer who bridges back-end AI systems, spatial databases, and native mobile app development (iOS/Swift). You will own end-to-end mobile app architecture, model integration,…
Build and deploy large language models using Python/Java, TensorFlow/PyTorch, and AWS cloud services to enhance AI capabilities.
Build and lead a real-time risk control platform for crypto payments, integrating fraud detection, credit scoring, and compliance using Java, microservices, and big-data tech.
Senior Data Scientist builds fraud-detection models and analyzes patterns to protect financial transactions using machine learning and statistical techniques.
A leading global law firm is seeking a Manager of AI & ML Applications to help shape and drive its AI strategy. This is a hands‑on leadership role for someone who can balance immediate implementation with long‑term…
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Build and maintain robotics data pipelines, ML training systems, and real-time tools for autonomous vehicles and embodied AI, using Python, C++, React, and cloud infrastructure.
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Build and deploy AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
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