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The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
As a Product Marketing Manager for NVIDIA NIM, you will play a pivotal role in helping enterprises deploy AI. NVIDIA NIM is revolutionizing AI from experimentation to production, packaging optimized, production-ready…
Leads MLOps automation for a regional bank’s data/analytics team, designing CI/CD pipelines and Kubernetes infrastructure (AWS EKS) to deploy models/data pipelines at scale while mentoring engineers and collaborating cross-functionally.
About FWD Group FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and…
The Senior AI/ML Platform Engineer will build and scale the infrastructure supporting Adobe Express's AI features, including model integration, inference services, and data pipelines. The role involves working with Python, C++, Go, or TypeScript to develop reliable, high-performance systems for generative and agentic AI.
Build and deploy enterprise-grade AI systems, from prototypes to production, integrating LLMs and agentic workflows while ensuring reliability, security, and cost efficiency.
Design, develop, and deploy AI-powered solutions (LLMs, NLP, computer vision, edge AI) for document workflows and enterprise imaging products at HP, using Python/C#/Java and cloud platforms.
Senior AI Engineer designing and deploying production-grade AI systems across cloud and on-prem environments, working with Python, containerization, MLOps tools, and distributed system architecture.
Hands-on technical lead for two healthcare/bioinformatics teams, owning cross-project architecture, cloud operations (AWS), and production delivery while actively coding and reviewing. Uses modern languages (Python, TypeScript, C++, Rust), infrastructure-as-code, CI/CD, and AI-assisted engineering tools.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
Lead data science initiatives for a connectivity orchestration platform, building predictive/prescriptive ML models using Python, SQL, neural networks, LLMs, and knowledge graphs to solve complex product challenges.
Build and operate the enterprise AI/ML platform foundation at bpx energy (BP), creating reusable deployment patterns, CI/CD automation, and governance controls across Databricks, Palantir, Snowflake, AWS, and MLflow.
Design, develop, and deploy AI-powered document workflow and business process solutions using LLMs, NLP, Computer Vision, and Edge AI as part of HP's imaging team.
The Technology Director for Cybersecurity Engineering leads strategic initiatives in AI security, automated threat assessment, and Just-in-Time access management. This role manages a team of engineers to build scalable security solutions, evaluate emerging AI/ML technologies, and drive enterprise-wide cybersecurity roadmaps.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Develops AI/ML systems and predictive models for clients, focusing on LLMOps, deep learning, and software automation to transform unstructured data into actionable insights.
A 4-month student role building predictive models for credit risk at Canadian Tire Bank, focusing on credit limit assignment, marketing promotions, and portfolio management using machine learning and data analysis.
Leads enterprise data strategy, designs scalable pipelines, and implements AI/ML governance for Tyson Foods, focusing on real-time data, cloud platforms, and advanced data engineering.
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