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Build and deploy production-grade AI/ML models and features, focusing on deep learning, MLOps, and end-to-end automation for measurable business impact.
Lucidya is on the forefront of innovation in artificial intelligence and is looking for a skilled AI Manager to oversee our AI programs and initiatives. In this key role, you will lead a dedicated team of machine…
Build and maintain Intel's agentic AI platform, writing production code for UI, APIs, and services that help enterprises deploy AI agents on Intel hardware.
Build and deploy AI-driven forecasting, optimization, and generative AI systems for CPG companies using Python, ML, and agentic workflows.
Builds and deploys ML models to optimize marketing spend and forecast demand, using Python, SQL, and basic neural networks with mentorship from HQ’s data-science team.
Data Scientist builds predictive models and dashboards in Python/R with Power BI, working with stakeholders to turn business needs into data-driven insights and 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, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Maintains and troubleshoots Palantir Foundry data pipelines, monitors data health, and provides L2 support using Python, SQL, PySpark, and TypeScript.
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Research and develop core AI technologies, optimize deep learning models, and deploy large-scale systems while applying AI across industries like 5G/6G, healthcare, and finance.
Design and optimize large-scale AI models, build deep-learning architectures, and deploy end-to-end AI systems using TensorFlow/PyTorch and Python/C++.
Build and optimize distributed ML training/inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Build and optimize LLM and RAG systems for SaaS platforms, integrating AI-driven features like automated due diligence and document analysis using Python, SQL, and Transformers.
Build and optimize AI models (RAG) to solve financial-services problems, collaborating with teams to integrate solutions and analyze data using Python/TensorFlow.
Part-time coach teaching Python, AI, and robotics to students using PyTorch/TensorFlow and hands-on hardware projects in an edtech startup.
Part-time coach in Hong Kong teaching AI, data science, and robotics to students using Python, PyTorch, or TensorFlow, developing curricula, and guiding hands-on projects.
Lead enterprise AI adoption by designing governance frameworks, productivity KPIs, and automated acceptance platforms to evaluate and scale AI solutions across finance and operations.
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