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The 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 on cloud platforms.
Builds and deploys AI-driven demand and price response models for fuel/convenience retail pricing, designing experiments, mentoring teams, and ensuring production model quality.
Leads end-to-end AI solution pilot implementations for clients—managing discovery, planning, data preparation, validation, and handover—while coordinating cross-functional teams and translating technical AI performance findings for stakeholders.
Build and deploy agentic AI/ML applications on AWS for national security missions, using Python, large language models, RAG architectures, and agent orchestration patterns to automate workflows and support decision-making.
Build and deploy scalable ML and GenAI solutions at Amgen, turning prototypes into production-ready services using Python, cloud platforms, MLOps and containerization.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
Data Scientist II building predictive models for Amazon's Risk and Compliance team, using AWS services (Redshift, SageMaker, Lambda, QuickSight) and GenAI to score which risks and control weaknesses convert to breaches in financial crime compliance.
Design and build production NLP pipelines extracting entities, claims, and summaries from scientific text, own model evaluations end-to-end, and contribute to agentic AI applications using Python, LLMs, and orchestration tools like Airflow and Dagster.
We are seeking a Senior AI Engineer to lead the design and delivery of complex AI solutions across our enterprise data platform. You will define technical standards, mentor junior engineers, and act as a key bridge…
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across ABC News, National Geographic, Marvel, and Disney Studios using AWS, Spark, Kafka, and big data technologies.
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across brands like ABC News, Marvel, and Disney Studios using AWS, Spark, Kafka, and deep learning.
Design, build, and operationalize LLM-powered applications, RAG systems, and intelligent agents for automotive industry use cases, spanning full-stack development from prototype to production using Python, React, cloud AI platforms, and vector databases.
DevOps Engineer at LSEG Bengaluru building and automating cloud infrastructure and CI/CD platforms using AWS, Terraform, Docker, and Kubernetes while partnering with engineering teams.
Build and maintain CI/CD pipelines, infrastructure as code, and AWS environments for a federal program, using GitHub Actions, CloudFormation, Terraform, and Docker.
Principal Data Scientist / ML Consultant (Contract) Duration: 6 Months Engagement: Full-Time Contract Working Model: Hybrid (UK-based) Location: Client site attendance as required Start Date: ASAP Overview We are…
Designs and builds scalable data platforms and ML solutions on AWS for clients, focusing on ETL/ELT pipelines, analytics, and automation.
You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
Builds backend data services and React dashboards for rail inspection analytics, using Python, AWS, and modern frontend tooling to deliver inspection insights to stakeholders.
Build and maintain data pipelines, ML models, and APIs on AWS that power Zula 2.0, a rail-inspection data platform ranking and fusing inspection outputs.
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