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Intern researching and implementing AI/ML algorithms for embedded systems and edge devices using C/C++ and Python, with a focus on time-series models.
Design and deploy production-grade AI systems, including agentic workflows and GenAI, to drive measurable business impact in digital banking and lending.
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
Build and deploy AI/ML models, generative AI, and intelligent automation solutions to improve payments and financial services at a global fintech leader.
Lead a team building and optimizing scalable ML training platforms on AWS/Kubernetes, focusing on GPU workloads, performance tuning, and Gen AI/LLM pipelines while enforcing enterprise governance and security standards.
Build and productionize secure, scalable AI/ML and GenAI solutions using Python, LLMs, and agentic frameworks to drive measurable business outcomes at a major bank.
Design and implement AI/ML solutions—including LLM-powered workflows and agent-based automation—to streamline classified-data analysis and support rapid decision-making for national security missions.
Build and deploy NLP and ML models in Python while engineering production Java/Spring services for national security missions.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Build and deploy AI models and systems for legal-industry software, using Python, LLMs, and cloud AI services to integrate generative AI into enterprise applications.
Build and maintain ML infrastructure and data pipelines to operationalize AI models for drug-quality oversight in a regulated healthcare environment, using Python, cloud platforms, and MLOps practices.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Senior Solutions Architect designs and deploys NVIDIA’s AI, HPC, and GPU platforms for industrial robotics and manufacturing use cases, engaging with customers and partners to integrate cutting-edge tech.
Build and run reliability tests for NVIDIA’s datacenter OS and server platforms, automate test suites with Python/CI/CD, and debug failures in Linux, firmware, and AI tooling stacks.
Build and maintain ML and data infrastructure to operationalize AI models for drug quality oversight, enabling proactive risk detection and compliance in a regulated healthcare environment.
Design and deploy agentic AI systems that automate clinical and operational workflows using LLMs, planning, and tool orchestration in a regulated healthcare environment.
Build and deploy agentic AI workflows for clinical operations and research in urology, integrating multi-modal data and ensuring reliability in a healthcare setting.
Build and maintain the MLOps infrastructure that deploys and monitors Autodesk’s AI/ML models, automating pipelines with Kubernetes, Terraform, and CI/CD while enforcing security and governance.
Lead a team building production-grade NLP and LLM systems to transform legal and business data into actionable intelligence using RAG, agentic workflows, and hybrid ML pipelines.
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