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Data Scientist at Deutsche Welle developing analysis projects, ML/AI models, and MLOps pipelines to support data-driven journalism and audience insights using Python and common ML frameworks.
Design and implement scalable AI architectures, collaborating with cross-functional teams to drive innovation and efficiency using technologies like AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, Python, PyTorch, and RAG.
Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
AI/ML Intern building and fine-tuning LLMs and other models using Python, PyTorch, and Hugging Face, with exposure to NLP, computer vision, and API development in Pune, India.
We are looking for a Java Developer to join our dynamic development team. The ideal candidate will have a strong understanding of Java programming, object-oriented principles, and experience with modern development…
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
Develops and deploys generative AI and deep learning solutions for Citi’s Treasury & Trade Services, extracting insights from unstructured data (emails, call transcripts) to drive client experience and revenue growth. Core focus: end-to-end AI product delivery, LLM fine-tuning, RAG systems, and MLOps for production-grade GenAI.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
The Applications Development Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or…
This role involves architecting and optimizing end-to-end training workflows for robotics foundation models like Cosmos and GR00T. The candidate will work with researchers and engineers to scale multimodal model training and data pipelines across multi-GPU and multi-node systems.
Build AI and statistical models to detect fraud in Medicare/Medicaid claims using Python/R, cloud tools, and generative-AI components.
Senior Data Scientist applying ML and generative AI to detect and prevent fraud, waste, and abuse in Medicare/Medicaid claims, using Python, SQL, Databricks/Snowflake/Spark, and GenAI tools like LangChain and vector databases.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
The Senior AI Engineer will design, develop, and deploy scalable AI and machine learning systems, including LLMs and foundation models, to enhance banking products and internal operations. The role involves optimizing AI infrastructure for performance and cost while collaborating with cross-functional teams to deliver responsible AI solutions.
The Senior Data Scientist will design and deploy agentic AI and GenAI analytics solutions, including RAG systems and forecasting models, while managing end-to-end MLOps. The role requires strong Python, cloud ML expertise, and experience in productionizing AI systems for enterprise or government operations.
An AI Forward Deployed Engineer embedding with enterprise clients to build production-grade applications on proprietary foundation models, involving RAG pipelines, model fine-tuning, agentic workflows, and inference optimization using Python, PyTorch, vector databases, and cloud infra.
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