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AI / ML Engineer
Build and deploy AI-driven applications using generative models, deep learning, and cloud AI services. Design production-ready pipelines and integrate AI into systems.
AI / ML Engineer
Build and deploy AI-driven applications using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Design and build AI-powered applications using generative models, deep learning, and cloud/on-prem pipelines to deliver production-ready solutions.
AI / ML Engineer
Build AI-powered applications and cloud pipelines using GenAI, deep learning, and neural networks, ensuring production-ready quality and collaborating across teams.
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
AI / ML Engineer
Design and build AI-powered applications and cloud pipelines, integrating generative AI and other models into production-ready systems.
Machine Learning Engineer
Build and deploy production-grade ML services for a financial-services firm, turning research models into scalable APIs and MLOps pipelines on Azure and GCP.
Machine Learning Researcher
Research and implement machine-learning models for cybersecurity, optimizing them for latency and edge deployment while collaborating with engineers and security teams.
Staff AI/ML Engineer (Large Language Model)
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Large Language Model Architect
Design and fine-tune large language models to improve natural language understanding and generation for domain-specific tasks.
AI / ML Engineer
Senior AI Engineer builds and operationalizes GenAI and ML solutions on GCP/Vertex AI, deploys agentic platforms, and maintains production pipelines with strong Python and cloud engineering skills.
AI / ML Engineer
Builds and automates AI/ML pipelines in Python and cloud platforms (GCP preferred), deploys GenAI models, and maintains production-grade ML workflows.
AI / ML Engineer
Design and implement AI/ML systems, including GenAI models and neural networks, to build production-ready applications and pipelines.
Large Language Model Architect
Design and tune large language model architectures, optimizing neural networks for natural language processing tasks using vast unlabeled text datasets.
Large Language Model Architect
Design and optimize neural network architectures for large language models that process and generate human-like text, using machine learning frameworks.
AI / ML Engineer
Build and deploy AI-powered applications using LLMs, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build and deploy AI systems using Generative AI, LLMs, and deep learning; design cloud or on-prem pipelines and integrate AI models into production applications.
AI / ML Engineer
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.