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Job DescriptionJob Title: AI/ML Engineer Generative AI & LLM Job Summary We are seeking a skilled AI/ML Engineer with expertise in Generative AI, Large Language Models (LLMs), and agent-based systems. The ideal candidate will design, develop, and deploy scalable AI solutions, leveraging modern frameworks and cloud-based MLOps practices to deliver production-grade systems. This role involves close collaboration with cross-functional teams to translate business requirements into intelligent, reliable AI applications. Key Responsibilities Generative AI & LLM Development • Design, fine-tune, and deploy LLM-based solutions for enterprise use cases such as document intelligence, summarization, and conversational AI., • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases to enhance response accuracy and contextual grounding., • Develop prompt engineering strategies and evaluation frameworks to ensure output quality, consistency, and safety., • Integrate LLMs with enterprise systems using frameworks like LangChain, LlamaIndex, or similar tools., • Evaluate and benchmark different foundation models to select optimal solutions for business needs.AI Agents & Intelligent Automation, • Architect and implement AI agents capable of multi-step reasoning and task execution., • Develop agentic workflows using modern design patterns for complex, multi-turn interactions., • Implement human-in-the-loop mechanisms to ensure compliance, reliability, and risk control., • Integrate AI agents with APIs, enterprise platforms, and orchestration tools., • Establish guardrails, monitoring, and audit logging for responsible AI usage.MLOps & Deployment, • Build and maintain end-to-end MLOps pipelines including training, validation, deployment, and monitoring., • Implement CI/CD pipelines for machine learning models to enable continuous delivery., • Deploy models as scalable APIs or batch services using cloud-native platforms., • Monitor model performance for drift, degradation, and anomalies in production., • Maintain model governance, versioning, and lineage tracking for auditability.Collaboration & Delivery, • Work with business stakeholders to translate requirements into AI-driven solutions., • Participate in Agile/Scrum development processes and contribute to sprint deliverables., • Create technical documentation including solution designs, APIs, and operational guides., • Mentor junior team members and contribute to best practices in AI engineering. Flexible work from home options available.

Job Description Fortegra is seeking an Internal AI Forward Deployed Software Engineer to stay ahead of cutting-edge AI developments, rapidly prototype proofs-of-concept (POCs), and advise our organization's various technology teams on integrating the best AI solutions into their platforms and products. You'll be the go-to expert in bridging emerging AI technologies with our internal tech needs, enabling nimble adoption across teams and deploying AI apps in production. Roles and Responsibilities • Monitor and stay current with the AI technology landscape, including new models, frameworks, tools, and research across areas such as LLMs, multimodal AI, agentic systems, and orchestration platforms, to inform internal recommendations and solution design., • Operate with flexibility across software and data initiatives, contributing where business needs and priorities are most critical. Adapting readily to support both software engineering and data-focused projects as priorities and requirements shift will be integral to the role. Data-focused projects involve supporting our data infrastructure in terms of platform enhancements or building new data processes to support business needs., • Engage with internal stakeholders to identify high-value AI opportunities, define use cases, and rapidly prototype tailored solutions that integrate with our APIs, data pipelines, and internal platforms for workflows such as analytics, automation, and decision support., • Advise teams on the selection and implementation of AI solutions by assessing trade-offs across accuracy, latency, scalability, security, and cost, and guide the evolution of prototypes into production-ready applications., • Own end-to-end delivery of AI initiatives, from ideation and scoping through prototyping, testing, deployment, monitoring, and iterative optimization in internal production environments. Build a sharp eye for continuously validating AI-driven processes and evaluating their outputs for accuracy, effectiveness, and trustworthiness., • Identify reusable patterns, shared components, and platform enhancement opportunities emerging from AI projects, and partner with core engineering teams to improve maintainability, scalability, security, and operational resilience., • Conduct workshops, demos, and knowledge-sharing sessions to educate teams on AI best practices, emerging tools, and Fortegra's evolving AI capabilities, helping drive organization-wide adoption and responsible usage., • Operate effectively across multiple high-priority initiatives, contributing as an engineer, technical advisor, researcher, and communicator in a fast-moving and often ambiguous environment. The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Required Skills and Qualifications • Bachelor’s degree in Computer Science or a related field required; Master’s degree in Computer Science or a related discipline with a focus on AI or machine learning is preferred., • 3 to 5 years of software engineering experience, including hands-on development of AI-enabled applications and solutions using modern cloud-based AI platforms such as Azure Machine Learning or Azure AI Studio. Experience with Azure is strongly preferred., • Proven track record of rapidly building POCs and advising on AI integration strategies, with strong knowledge of current AI trends, leading model families, evaluation approaches, and practical enterprise use cases., • Experience with developer tooling such as Claude Code, GitHub Copilot, and Cursor is required., • Strong full-stack engineering skills, including proficiency in React-based web development and the ability to review, understand, and refine AI-generated code. Experience designing or implementing agentic workflows is highly valued. Familiarity with FastAPI is preferred., • Experience working with frontier models from providers such as OpenAI, Anthropic, and Google within a Git-based development environment. Familiarity with GitHub-based CI/CD workflows and the use of AI tools for automated testing, including tools such as Playwright, is strongly preferred., • Demonstrated ability to work with speed and flexibility across multiple priorities, debug complex AI-driven systems, and deliver effective solutions under tight timelines., • Strong communication and stakeholder management skills, with the ability to work effectively in matrixed organizations and translate complex technical concepts for both technical and non-technical audiences., • Clear commitment to continuous learning, with an established habit of staying current on AI developments through research papers, newsletters, hands-on experimentation, and industry forums. Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Join a high-impact engineering team focused on rapid innovation Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. The anticipated salary for this position is $110,000 - $190,000 per year, based on qualifications and experience. FORTEGRA IS NOT ACCEPTING UNSOLICITED RESUMES FROM SEARCH FIRMS FOR THIS POSITION. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins. Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Contributions to open-source ML projects or published research. Benefits • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Employment Type: Co-op / Internship (Full-time during co-op term) Compensation: Paid co-op position; compensation details shared during the interview process Term: Fall 2026 co-op - start late August/early September 2026, approximately 15-16 weeks through mid-December 2026. Flexible/rolling start available for candidates able to begin sooner. Multi-term extension possible based on performance and academic schedule; all dates coordinated with your university's co-op calendar. ABOUT THE ROLE -------------- EliteUS is hiring an AI/ML Engineering Co-op to work alongside our engineering team on real, shipping projects - not busy work. You'll contribute to AI-powered features end to end: building and evaluating models, wiring up LLM/GenAI workflows, and turning prototypes into production-ready components. This is a hands-on, mentored role designed to give undergraduate students substantive engineering experience that counts toward their co-op or experiential-learning requirements. This co-op is designed for undergraduate students and recent Bachelor's graduates in computing and data fields. WHAT YOU'LL DO -------------- • Build, fine-tune, and evaluate machine learning models for production use cases, • Develop LLM/GenAI application components (prompt design, retrieval pipelines, API integration), • Write clean, tested Python and contribute to existing code base, • Help build data pipelines: collection, cleaning, labeling, and feature engineering, • Run experiments, measure results, and document findings clearly, • Collaborate with engineers and product stakeholders in daily standup and reviews REQUIRED QUALIFICATIONS ----------------------- • Currently enrolled in, or recently completed, a Bachelor's degree in Computer Science, Data Science, AI/ML, Software Engineering, or a closely related field, • Strong academic record - minimum 3.5 GPA (4.0 scale) or equivalent, • Solid programming fundamentals in Python, • Coursework or project experience in machine learning, statistics, or data structures, • Ability to work on-site at our Edison, NJ location for the full co-op term, • Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship PREFERRED (NICE TO HAVE) ------------------------ • Personal, academic, or hackathon projects involving ML, data, or LLM tools, • Familiarity with PyTorch, TensorFlow, scikit-learn, or Hugging Face, • Exposure to Git, REST APIs, SQL, or cloud platforms (AWS/GCP/Azure), • Strong written communication - you can explain what you built and why WHAT YOU'LL GAIN ---------------- • Direct mentorship from working engineers and structured feedback throughout the term, • Ownership of real deliverables you can show in interviews and your portfolio, • Experience across the full AI/ML lifecycle, from data to deployment, • We work with university co-op coordinators and will complete mid-term and final evaluations, learning agreements, and any documentation your program requires PATH TO FULL-TIME ----------------- This co-op is designed as a pipeline to full-time employment. You'll receive a mid-term check-in and a formal end-of-term performance review. Strong performers will be offered a full-time Junior AI Engineer role at the conclusion of the term - timed so enrolled students can accept before graduation. We communicate the hire/no-hire decision clearly within the final weeks of the term so you always know where you stand. HOW TO APPLY ------------ Submit your resume and a brief note on a project you're proud of. Include your school, expected graduation date, and available co-op term(s). Portfolio, GitHub, or project links are welcome. --- EliteUS Software Solutions is an Equal Opportunity Employer. We evaluate all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. By applying, you're joining our Machine Learning Engineer talent network. About Mercor projects Experts in our network contribute to: - Training

Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. Write clean, efficient, and well-documented code, following best software engineering practices. Background in mentoring or leading small engineering teams.

Background in developing and deploying machine learning solutions in production settings. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.

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Whole Foods Market is seeking Cashiers / Customer Service Team Members to assist customers, operate registers, and support front-end store operations.Cashiers are responsible for scanning items, processing payments, assisting customers with questions, handling returns, bagging groceries, and maintai

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Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe service.They process checkout and/or return transactions, as well as monitor and maintain the self-checkout area.They proactively seek product/project knowledge to provide customers with info

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