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The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
Develops AI agents and LLM-driven security solutions for Wiz’s cloud/AI platform, collaborating with engineering and security teams to enhance threat detection and automation.
Software Engineer V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and…
Senior AI Engineer designing and operationalizing ML/AI solutions—predictive models, GenAI assistants, RAG workflows, and agents—for Teradyne's IT organization, building MLOps/LLMOps pipelines and production-grade practices using Azure AI Foundry, Copilot Studio, Anthropic Claude, Vertex AI, and Snowflake.
Senior Data Scientist applying ML, generative AI, and agentic systems to detect and prevent Medicare/Medicaid fraud, waste, and abuse using Python, Spark, and LLM orchestration tools.
Research and develop AI/ML security and safety assurance methodologies for mission-critical defense systems, conducting risk analysis, threat modeling, and collaborating with engineering teams in Huntsville, AL.
The Data Scientist Principal will design and implement AI/ML solutions, including generative AI and agentic frameworks, to support government agency data initiatives. The role involves hands-on development, mentoring team members, and integrating AI capabilities into enterprise systems.
Senior Data Scientist at Grupo Modelo (AB-InBev) in Mexico City, building end-to-end analytical products and production ML models (classification, clustering, forecasting, recommendation systems) using Python, SQL, and ML frameworks.
Lead Data Scientist at Mastercard building applied ML solutions (forecasting, propensity modelling, recommendations) using Python, SQL, and ML frameworks, leading technical teams from concept to production.
Design, build, and productionize LLM-powered agentic AI systems and scalable ML pipelines for conversational interfaces using Python, cloud services (AWS), and microservices at scale.
ML Engineer II at TD's Layer 6 AI center building scalable ML frameworks and production-grade models on large financial datasets (transactions, transcripts, documents) using Python, C/C++, and PyTorch/TensorFlow.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
Lead ML-based software development at RBC Borealis, prototyping and integrating algorithms in NLP, deep learning, and time series using Python and frameworks like PyTorch, JAX, or TensorFlow.
ML Engineer building scalable, production-grade ML systems on real-world banking data (transactions, conversations, documents) using Python, C++, PyTorch, and TensorFlow.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments, primarily using TypeScript/Node.js.
Research Engineer at the Alibaba-NTU Global e-Sustainability CorpLab developing Green AI technologies—focusing on LLMs, model optimization, and efficient inference—to advance sustainable computing. Core tech: Python, PyTorch/TensorFlow, large language models, distributed training.
Senior ML Engineer building end-to-end AI/ML systems for retail pricing optimization, with initial focus on agentic AI and A2A protocols using Python, agentic frameworks (ADK/LangChain), and cloud-native environments (GCP/AWS).
Founding ML Engineer building production-grade ML pipelines and deploying LLMs/generative models from the ground up at an early-stage AI company, using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Python Developer building scalable backend applications, RESTful APIs, and automation solutions using Python (Django/Flask/FastAPI), relational/NoSQL databases, Docker, Redis, and Celery.
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