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Leads AI/ML engineering for a fintech SaaS platform, designing scalable automation solutions (e.g., predictive analytics, NLP, anomaly detection) to streamline workflows and enhance client outcomes.
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
Machine Learning Engineer at a consulting firm, developing and deploying ML models (predictive analytics, classification, clustering) using Python, TensorFlow/PyTorch/scikit-learn, and cloud platforms (AWS/GCP/Azure) across various client engagements.
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
The Senior Software Engineer will integrate LLMs and machine learning solutions into the company's platform, focusing on building AI-driven features, internal automation tools, and scalable ML infrastructure. The role requires strong expertise in Python, RAG pipelines, and production-level AI model deployment.
This role involves building predictive models and data pipelines within the Microsoft Fabric platform to integrate external market data with internal real estate datasets. The Data Scientist/Engineer will manage the full data lifecycle, from ingestion and transformation to MLOps and insight generation for business stakeholders.
The Forward Deployed Engineer embeds with manufacturing clients to lead the end-to-end deployment of AI vision systems, integrating edge hardware with industrial operational stacks. The role involves scoping, building data pipelines, deploying models, and serving as the primary technical liaison between the company and the customer.
Data Engineer building production-grade data pipelines and event-stream infrastructure for Ki, an algorithmic Lloyd's of London insurtech carrier, using Python, SQL databases (PostgreSQL, MySQL, BigQuery), cloud platforms (GCP/AWS), and CI/CD.
Lead the design, development, and deployment of AI/ML and Generative AI solutions for semiconductor/NAND manufacturing and business operations using Python, ML frameworks, and MLOps pipelines.
Build and deploy AI/ML models in Python using TensorFlow/PyTorch to power business products, integrating them via cloud platforms and MLOps pipelines.
This role is for an AI/ML Technical Lead responsible for designing and overseeing scalable AI-driven solutions, including LLM-based applications. The position involves end-to-end architecture, model development, and mentoring junior engineers using technologies like Python, PyTorch, TensorFlow, and various cloud AI services.
The Data Engineer will build and maintain robust batch and stream data pipelines to support AI/ML research and production workflows. The role involves managing data quality, lineage, and MLOps tools like DVC and MLflow while collaborating with cross-functional teams.
The AI/ML Engineer will design, train, and deploy AI models, including LLMs, to support healthcare applications. The role involves building MLOps pipelines, optimizing model performance, and collaborating with cross-functional teams to transition research into production.
Senior Data Scientist developing and deploying ML/DL models using Python, TensorFlow, PyTorch, and Spark, with Cloud MLOps experience on Azure/AWS/GCP and technical leadership duties.
Architect, train, and deploy ML models and GenAI applications for predictive maintenance, anomaly detection, and manufacturing process optimization, integrating with IoT/MES systems.
Senior Data Scientist specializing in ML and Cloud MLOps, building predictive/deep learning models, deploying cloud-based pipelines, and mentoring teams for a Spanish multinational client.
The Machine Learning Engineer will collaborate with stakeholders to develop and deploy ML models into production using MLOps best practices. The role focuses on building scalable data pipelines, ensuring AI governance compliance, and automating model monitoring and retraining.
This role involves leading the research, design, and deployment of LLM-powered and Agentic AI solutions to address clinical and operational challenges in a healthcare setting. The position requires expertise in building automated data pipelines, RAG systems, and multi-agent orchestration frameworks.
AI / ML & GenAI Solution Development Design, develop, and deploy AI/ML and Generative AI solutions to optimize high-volume drive manufacturing operations. Build machine learning models for predictive maintenance,…
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