7 ai machine learning engineer jobs found

Position: Post Silicon Engineer (eInfochips) Job Description:   Location: Cupertino, CA and Austin TX Experience: 8+ Years What You'll Be Doing: As a Senior Validation Engineer on our Machine Learning Acceleration team to work —from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains and broad scope of impact—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results. A day in the life Developing comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause. Role models detailed test plans covering functional,...

Position: Solution Engineer II (AI/ML lead) Job Description: Principal Accountabilities Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement. Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. Respond to client RFQs and provide robust technical proposals and solution architectures. Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery. Job...

Position: Azure Cloud Architect Job Description: Arrow Electronics is seeking a Microsoft Azure Architect to join our Cloud Engineering team at our Bangalore, India facility. The Cloud Engineer will provide technical expertise in the IAAS/PAAS/SAAS Public Cloud domain in addition to facilitating project management cycles while working directly with Arrow's internal application services group. In this role, the Engineer will maintain a high level of technical aptitude in cloud and hybrid cloud solutions while also displaying a proven ability to communicate effectively and offer excellent customer service. What you will be doing: Azure Networking & Troubleshooting: Expertise in Private DNS Zones, Private Endpoints, ExpressRoute, and BGP routing, with strong troubleshooting skills. Azure Best Practices: Design and implement scalable, secure, and cost-effective solutions following Azure best practices. Landing Zones: Architect and implement Azure Landing...

Position: Data Scientist / Senior Machine Learning Engineer Job Description: Position Overview: As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company. Key Responsibilities: 1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains. 2. Data Analysis:...

Position: Gen - AI Architect Job Description: Job Description: A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals. What we're looking for: Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. Skills: Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep...

Position: Copilot & Power Platform Application Engineer Job Description: This role designs and delivers Workplace A.I. (Copilot) and Power Platform enablement services that accelerate safe, practical adoption across the enterprise. The position partners with executive, business, and department stakeholders to identify high-value scenarios, run discovery and solution-shaping workshops, and build rapid prototypes/POCs using Microsoft 365 Copilot, Copilot Agent Builder, Copilot Studio, and Power Platform. The role also develops reusable templates, a Copilot communication and training approach, and coaching programs that help teams move from idea to prototype to deployment—collaborating with Security/Compliance and platform owners to align with guardrails and maximize stakeholder outcomes. What You'll Be Doing:     Designs and delivers A.I. technology demonstrations, workshops, and prototypes aligned to business outcomes and user workflows....

Position: AI Architect Job Description: A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals. What we're looking for: Education : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. Skills: Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP,...