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Build and architect enterprise-grade AI systems, including LLM-driven agents, RAG pipelines, and multi-agent orchestration, while designing context layers and ensuring security and scalability.
Design and implement enterprise-grade AI architectures, including multi-agent systems, RAG pipelines, and model routing, while enforcing security, governance, and cost controls for large-scale deployments.
Design and deploy enterprise-scale AI/ML solutions, including deep learning and generative models, with MLOps/LLMOps pipelines and cloud integration.
Skill required: Marketing Operations - Campaign Management Designation: Marketing Platform Auto Associate Qualifications: Any Graduation Years of Experience: 1 to 3 Years About Accenture Accenture is a global…
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
Build and improve demand-forecasting models using Python and SQL, collaborating with engineers and business teams to deploy multivariate algorithms and enhance supply-chain decisions.
Build and deploy ML models (XGBoost, NLP, deep learning) in AWS to solve client problems, using PySpark, SQL, and MLOps pipelines.
Build and deploy NLP models for federal clients, focusing on text preprocessing, feature engineering, and transformer-based solutions to solve public-sector challenges.
Builds scalable distributed systems and microservices for NVIDIA’s AI infrastructure, enabling autonomous-vehicle deep learning at petabyte scale.
Lead the deployment of generative AI and agentic systems across Novartis, engineering secure, scalable AI products and intelligent workflows to transform enterprise processes and deliver measurable patient and business value.
Build, deploy, and monitor ML models end-to-end using Python, scikit-learn, and cloud platforms to drive business impact in insurance and financial services.
Lead AI/ML initiatives at Cisco, defining technical vision and roadmap for AI capabilities in security and observability products while guiding cross-functional teams from architecture to production deployment.
Design and build AI-powered applications using cloud and on-prem pipelines, applying generative models and LLMs to create production-ready solutions like chatbots and image processors.
Design and build AI-powered applications using cloud services, generative models, and deep learning pipelines in production environments.
Lead AI/ML projects for enterprise clients, designing and deploying custom deep learning and generative AI models with MLOps/LLMOps pipelines in cloud environments.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital commerce setting using Python, SQL, and MLOps.
Position Overview The AI Technical Architect is responsible for designing, developing, and implementing advanced artificial intelligence solutions that address critical business challenges. The role demands a deep…
Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
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