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Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
AI Software Engineer (VP) at NatWest Group in Chennai, working in a permanent feature team to design, build, test, and deploy full-stack software with a strong focus on Python, machine learning frameworks, and Large Language Models.
Solutions Engineer at Cloudera providing technical and business consultation to sales teams and customers—discovering use cases, designing architectures, and demonstrating big data and AI solutions.
Builds and deploys ML/AI models to analyze healthcare data, improve predictive accuracy, and automate workflows using agentic systems and RAG techniques.
Senior Data Scientist leading ML model development and deployment in a distributed data system to maximize weapon system operational effectiveness for Boeing Defense, Space & Security.
Build and optimize distributed inference support in the AWS Neuron SDK for custom ML accelerators (Inferentia/Trainium), working across the full stack from PyTorch/JAX frameworks down to hardware-specific kernels and system-level optimizations.
We are seeking an Applied Science Manager to lead a new business unit on the GameLift team focused on creating AI and ML-based applications for the gaming industry. This leader will own the technical vision, scientific…
Data Scientist building real-time, low-latency AI tools using LLMs and NLP to assist call center agents across voice and messaging channels.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
Agentic AI Engineer Description - Job Summary This role is responsible for leading the design and execution of advanced AI solutions using ML and NLP, solving highly complex problems through experimental research and…
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The Senior Machine Learning Scientist will develop generative and representation learning models for protein and antibody drug discovery. The role involves collaborating with cross-functional teams to apply advanced ML techniques to large biological datasets.
The Senior Machine Learning Scientist will develop generative and representation learning models for protein and antibody discovery within Roche's AI for Drug Discovery group. The role involves collaborating with cross-disciplinary teams to apply advanced ML techniques to large-scale biological datasets.
Data Analytics intern at BMO applying machine learning, AI, and big data technologies to mine and analyze structured/unstructured data, build predictive models, and deliver data-driven business insights in Toronto.
Develops and optimizes NVIDIA’s proprietary GPU compiler backend (C++) to generate high-performance machine instructions for graphics (OpenGL/Vulkan/DX) and compute (CUDA/PTX/OpenCL/Fortran/C++), focusing on register allocation, optimizations, and cross-team collaboration.
Develops AI/ML-powered image analysis software for high-content microscopy, designing scalable pipelines to process biological imaging data and enable research insights.
Develops and maintains AI-powered RAG pipelines for the U.S. Department of State, focusing on document ingestion, retrieval tuning, model serving, and evaluation to assist diplomatic security leaders with data-driven decision-making.
Oversees data infrastructure, pipelines, and governance for a major financial institution, ensuring secure, scalable, and efficient data collection, storage, and analysis to drive business insights and operational efficiency.
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