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As a Tier 2 coding expert, you will help train AI models by crafting questions and evaluating code generated by AI. This is a remote freelance position with flexible hours, where you leverage your programming skills to enhance language generation capabilities for AI. No AI experience is required.
The Senior Machine Learning Engineer will extend the AI as a Service platform for Cloud and manage the development of new solutions while optimizing existing codebases. Responsibilities include enhancing production systems, working with cloud technologies, and utilizing AI/ML frameworks.
KUNGFU.AI is seeking an AI Strategist to help clients integrate AI solutions by providing tailored strategies, doing quantitative analyses, and assessing organizational capabilities. The role involves engaging with diverse stakeholders and enabling clients to navigate challenges in adopting AI/ML technologies effectively.
The Senior Software Engineer will leverage their programming and system design skills to create innovative conversational voice assistants using Generative AI. They will build AI capabilities, quickly bring new technologies to market, and utilize generative AI services.
The Generative AI Data Scientist role involves developing ML models focusing on NLP, LLMs, and Generative AI. Responsibilities include model design, evaluation, deployment, and collaboration with cross-functional teams to deliver effective AI solutions.
The Partner Engineer will manage software program initiatives, driving clarity for commercial and strategic goals while collaborating with Samsung teams and partners. Responsibilities include defining requirements, soliciting feedback, validating business cases, and ensuring product quality and timely project delivery.
The AI Architect will design and oversee the implementation of AI solutions, collaborating with teams to tailor these solutions for business needs, ensuring scalability and sustainability while driving innovation and competitive advantage.
As the Staff Applied AI Engineer, you will design and deploy AI agents for access management, architect AI infrastructure for scalability, collaborate across teams to align AI initiatives with business goals, and mentor team members in best practices for AI development.
Featured Jobs
The Azure AI Architect will develop user interfaces for chat experiences, integrate RESTful APIs, and employ various Azure services for optimal performance. Responsibilities include collaboration with backend teams, deploying scalable solutions, maintaining codebases, and conducting performance testing.
The Solutions Architect - AI/ML at Snowflake will leverage expertise in data science and cloud architecture to enhance customer engagement and implement solutions for AI/ML workloads. Responsibilities include advising on best practices, building ML pipelines, and collaborating with various teams to optimize Snowflake's capabilities for clients.
The Sr Principal AI Engineer Systems Architect is responsible for leading the design and implementation of AI and ML solutions. Duties include developing scalable AI pipelines, collaborating with teams, evaluating technologies, and providing mentorship. The role focuses on driving innovation, aligning AI projects with business objectives, and leveraging big data and cloud computing.
As a Technical Account Manager at Comet, you'll guide enterprise customers in adopting the Comet platform, ensuring they achieve their AI and machine learning goals. You'll manage customer relationships, project implementations, and drive customer success while collaborating cross-functionally within the company.
The AIOps Architect at McKesson will design and implement AIOps solutions utilizing AI and machine learning to enhance IT operations. The role includes developing architectural blueprints, providing technical leadership, ensuring data integration and compliance, and maintaining operational efficiency and security.
The Staff ML Engineer at FanDuel will lead the development of scalable ML and GenAI/LLM models while collaborating with engineering teams and data scientists. Responsibilities include building serving architectures, developing platform features, managing data security and governance, and mentoring junior engineers. This role emphasizes technical leadership and requires expertise in various programming languages and ML frameworks.
The role involves architecting and designing Generative AI products for Samsung devices, utilizing machine learning techniques to improve applications, analyzing system performance, ensuring ethical AI practices, and collaborating with cross-functional teams to meet business needs.
As a Senior Front-end Engineer at PixieBrix, you will be responsible for developing high-performance front-ends for their low-code platform, specifically focusing on browser extensions. Your role will involve collaboration with product and customer success teams, creating reusable components, and ensuring code quality through testing and code reviews.
Outlier seeks experienced coders to assist in training AI models by evaluating and generating questions related to computer science. The role requires proficiency in programming languages and strong attention to detail. It is a flexible freelance position aimed at enhancing the performance of generative AI models without prior AI experience needed.
As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines, drive impactful business decisions, and manage the data infrastructure in collaboration with data engineers and scientists while ensuring high-quality outputs.
The ASIC/SoC Design Verification Engineer will define and implement test plans for SoC design verification, develop reusable test benches and verification modules, and mentor junior engineers while collaborating with design teams. Key responsibilities include building verification infrastructure and debugging simulation failures, ensuring efficient and effective verification processes.
The role involves developing AI/ML models using Python and various libraries, with a focus on OPIR domain expertise. Responsibilities include identifying features for AI/ML models, developing and maturing R&D capabilities, and maintaining effective communication with stakeholders.
Lead technology evaluations for data-driven and AI-powered solutions using Salesforce platforms. Design tailored data solutions and create use cases for clients while collaborating with sales teams to deliver engaging demonstrations and technical workshops.
In this role, you will serve as a trusted advisor for clients on their Azure and AI transformation journey, providing technical expertise during the sales process and collaborating with sales teams to expand service offerings. You'll lead architecture creation, mentorship, and the development of innovative solutions while continuously improving personal and team skills.
The Senior Software Engineer II will enhance AI/ML infrastructure, develop model training and deployment strategies, design systems for AI model capabilities, and mentor junior engineers while ensuring security and compliance in healthcare applications.
The Staff Software Developer will work within the AI Product Engineering team to build and support AI-driven products, focusing on performance, reliability, and user experience. Responsibilities include technical ownership of AI portfolio, collaborating with developers, writing well-tested code, and mentoring peers.
The AI Solutions Consultant will work closely with the sales team, guiding clients on utilizing AI Decisioning effectively, and developing technical content. Responsibilities include understanding customer pain points, executing technical projects, and advocating for customer needs within the company.
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