Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Includes GenAI models, deep learning, neural networks, chatbots, and image processing.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Design and build advanced AI applications and systems
Integrate generative AI models into scalable production pipelines
Collaborate across teams to ensure robust, efficient solutions
Lead evaluation and adoption of emerging AI technologies
Aufbau und kontinuierliche Weiterentwicklung der Generierungs-Pipelines zur Erstellung von On-Model-, Produkt- und Kampagnen-Visuals in den SCAYLE STUDIOS.
Responsibilities
Aufbau und kontinuierliche Weiterentwicklung der Generierungs-Pipelines zur Erstellung von On-Model-, Produkt- und Kampagnen-Visuals in den SCAYLE STUDIOS
Fine-Tuning von Modellen, Prompts und Parametern, bis die Ergebnisse konsistent sind und über Tausende von Produkten hinweg Produktionsreife erreichen
Verknüpfung von Bild-, Video- und Bearbeitungsmodellen zu neuen Workflows, um das Leistungsspektrum der SCAYLE STUDIOS kontinuierlich zu erweitern
Entwicklung eigener Tools und Automatisierungen mithilfe von Claude Code oder vergleichbaren KI-Werkzeugen
Testen neuer Modelle unmittelbar nach deren Veröffentlichung und gezielter Wissenstransfer der Best Practices an das Team
Requirements
Nice to have: Erfahrung im Trainieren oder Fine-Tuning von KI-Modellen (z. B. LoRAs)
Support Circle’s Internal Audit function by planning and delivering technology and integrated audits over financial, operational, and compliance controls for Circle and its subsidiaries.
Locations (2)
San Francisco, California, United States
United States
Compensation
Base Pay Range: $112,500 - $134,167
Responsibilities
Developing and enhancing internal audit frameworks, methodologies, and assurance processes for technology audits
Conducting risk-based technology, systems, and operational audits to assess compliance and controls
Conducting effective client interviews and documentation reviews to inform scoping and testing
Analyzing process and system documentation to evaluate control design and operating effectiveness
Designing and executing fieldwork testing strategies, including substantive tests and clear working papers
Requirements
AI / ML Engineer
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 4, 2026
Designs and builds advanced AI/ML applications and systems, integrating generative AI models, deep learning, neural networks, chatbots, and image processing into production-ready solutions on cloud or on-premises platforms.
Responsibilities
Lead design and implementation of AI-driven solutions
Manage team decisions and mentor junior members
Coordinate with stakeholders to gather requirements and translate into technical specifications
Evaluate emerging AI technologies and recommend adoption
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution, including deep learning, neural networks, chatbots, image processing.
Responsibilities
Design and build advanced AI applications and systems
Integrate generative AI models into solutions
Ensure production readiness on cloud or on-prem platforms
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Locations (2)
Bengaluru, Karnataka, India
Indore, Madhya Pradesh, India
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Lead the design and implementation of AI-driven solutions ensuring alignment with organizational objectives.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and deployment of AI models ensuring alignment with business objectives.
Design and build AI/ML applications and systems, integrating generative AI models, deep learning, neural networks, chatbots, and image processing into production-ready solutions on cloud or on‑premises.
Responsibilities
Lead design and implementation of AI‑driven solutions
Collaborate with cross‑functional teams and stakeholders
Mentor junior team members
Evaluate emerging AI technologies and recommend adoption
Manage team decisions and provide solutions across teams
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Lead the design and implementation of AI and machine learning solutions to meet project requirements.
Mentor junior team members to enhance their technical skills and project contributions.
Coordinate with stakeholders to ensure alignment of AI initiatives with business objectives.
Provide solutions to problems for their immediate team and across multiple teams.
Engage with multiple teams and contribute on key decisions.