Trabajos api en Yonkers, New YorkCrear alertas

The Lamont-Doherty Earth Observatory of Columbia University is seeking a Senior Staff Associate II to contrive, design, develop, optimize, and enhance complex data systems operated by the Lamont Goeinformatics Research Group (GRG). The SSAII will conduct research in a collaborative research environments to deliver innovative solutions for functions, capacity, interoperability, performance, and efficient maintenance of adademic Earth Sciences data systems and services; operate and improve existing software and database solutions. Provide formal guidance to junior team members. Collaborate with other team members and with external peers to build consensus. Must exercise creativity and/or expertise in the normal performance of duties. Present at conferences and seminars; participate in development of funding proposals, manuscripts, and other research-oriented documentation. Duties and Responsibilities include: • Contrive, design, develop, and optimize complex cloud-based architecture for data infrastructure and web applications that manage and provide access to research data. Work from product requirements developed by GRG project and product managers based on user scenarios and as approved by PI., • Plan and execute development, deployment, and administration of back-end infrastructure and front-end applications in a DevOps environment, working as part of the GRG Technical Team. Provide formal guidance to junior team members., • Participate in the development of funding proposals and manuscripts; present at conferences and seminars., • Maintain documentation of development and operational procedures and frameworks as part of the GRG DevOps environment., • Will exercise independent judgement and initiative. Receives general supervision from the Doherty Senior Research Scientist. Bachelor's degree in Earth Sciences or Engineering and 10 years of relevant experience in the development of scientific geoscience data systems. Proven track record of working with cloud-based architecture, particularly AWS (Amazon Web Services). Advanced knowledge of data modeling semantic web and database design, proficiency with SQL and NoSQL databases technologies. Knowledge and experience of programming languages such as Java, JaveScript, Python, PHP, etc. Knowledge and experience with web frameworks such as Angular, Next.js, Node.js, Django, Express.js, Spring. Knowledge and experience with API development skills. Knowledge and experience with container technologies, DevOps and CI/CD, Git/Version control. Familiarity with current trends in geoscience research and data system development. Strong analytical and problem-solving skills. Highly organized and efficient, excellent oral and written communication skills. Knowledge and experience with GIS system such as GeoServer, ArcGis. The search will remain open for at least 30 days after the ad appears and will remain open until the position is filled. Appointments are made on a fiscal year basis and are eligible for renewal each July 1, contingent upon performance and funding. Columbia University benefits accompany this Officer of Research appointment. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

About the Role The Forward Deployed Context Engineering Lead (Director) is responsible for designing, deploying, and governing end-to-end context and retrieval architectures that power generative AI and agentic AI solutions for strategic financial services clients. Embedded at client sites using a embedded forward deployment model, this leader translates business imperatives into production-grade AI deployments, context pipelines, tool orchestration frameworks, and evaluation systems that ensure AI workflows are compliant, reliable, and measurable against regulatory and business standards. In highly regulated financial services environments, this role bridges AI innovation with governance frameworks including BCBS 239 (risk data aggregation), NIST AI RMF, ISO 42001, and emerging AI regulations. The holder serves as both a trusted technical advisor and strategic business partner, shaping how AI augments operations. In this role, you will: Strategic Partnership & Client Leadership * Partner with CFO, CIO, COO, Chief Risk Officer, and Chief Compliance Officer to define multi-year AI transformation roadmaps, with emphasis on use case prioritization, governance alignment, and risk-adjusted ROI. * Work "forward deployed" at client sites, embedding within business units and technology teams to own end-to-end solution delivery from discovery through production and value realization. * Lead discovery workshops to uncover high-value AI opportunities, frame problem statements, and shape outcome-driven implementations in core business processes (credit decisioning, market risk, AML/CFT, wealth advisory). End-to-End Context Architecture * Own the complete context fabric that feeds LLMs and agents: data products, RAG pipelines, vector databases, knowledge graphs, semantic layers, tool schemas, memory stores, and orchestration patterns. * Design and oversee implementation of enterprise-scale retrieval systems that integrate multiple data sources (core banking, risk repositories, regulatory data, market data, customer data warehouses) with sub-second latency and high recall. * Architect tool landscapes for agents, defining function schemas, validation rules, pre/post-execution guardrails, and escalation patterns so agents safely interact with core systems (core banking APIs, trading platforms, CRM, regulatory reporting engines). * Establish context quality and freshness standards aligned to use case sensitivity: real-time for trading contexts, hourly for compliance contexts, daily for advisory contexts. AI & Data Governance & BCBS 239 Alignment * Embed data lineage, quality controls, and metadata management into context pipelines to satisfy BCBS 239 principles (completeness, accuracy, timeliness, clarity, granularity) and emerging AI data governance expectations. * Work with Chief Data Officer and data governance teams to ensure context data products meet regulatory lineage requirements, audit trails, and change management protocols. * Design data product contracts that codify context completeness, freshness, and accuracy SLAs and make them machine-readable for automated quality gates. AI Evaluation & Safety Strategy * Define and operationalize comprehensive evaluation strategy covering accuracy, consistency, hallucination detection, bias, fairness, latency, cost, and regulatory compliance by use case. * Establish baseline and continuous metrics for both offline benchmarking (held-out test sets, red teaming) and online monitoring (production feedback, human review, alert escalations). * Partner with Evaluation Engineering and Risk teams to implement automated quality gates in CI/CD pipelines, blocking unsafe or regressing models/prompts/context changes from deployment. * Lead design and execution of red team exercises for high-risk use cases (credit decisioning, investment advice, transaction monitoring), including jailbreak detection, prompt injection, data leakage, and discriminatory output testing. Responsible AI & Governance Integration * Translate NIST AI RMF, ISO 42001, EU AI Act, and internal governance policies into architecture requirements: explainability, auditability, bias monitoring, human oversight, incident response. * Collaborate with Chief Risk Officer, compliance, legal, and audit to define AI governance controls: model risk management, data governance, algorithm risk registers, impact assessments, and escalation workflows. * Establish observability and monitoring frameworks that track AI system health (quality metrics, safety indicators, regulatory drift) and provide dashboards and alerts for business and risk stakeholders. Cloud & Platform Strategy * Own technical platform strategy for AI solutions, including cloud selection (AWS, Azure, GCP), data platform selection (Snowflake, Databricks, Palantir Foundry, Microsoft Fabric), and integration architecture. * Architect secure, scalable, multi-tenant AI infrastructure that meets financial services standards for security, auditability, disaster recovery, and regulatory reporting. * Design and implement MLOps, LLMOps, and model governance workflows to ensure reproducibility, auditability, and rapid, safe iteration on AI solutions in production. Business Development & Executive Engagement * Support go-to-market strategy for AI transformation engagements: solutioning, proposals, statement of work (SOW) development, and executive presentations to C-suite. * Build thought leadership content (whitepapers, case studies, reference architectures) on context engineering, AI governance, and financial services AI transformation. * Mentor and grow a practice or delivery team of context engineers, evaluation engineers, platform engineers, and solution architects to scale repeatable AI capability. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Dallas, Minneapolis, or Chicago. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered * 15+ years of experience across software engineering, data engineering, data science, or AI/analytics, with at least 5-7 years leading AI/ML transformation initiatives. * Proven track record leading large-scale AI or digital transformation programs at consulting firms (Deloitte, PwC, Accenture, Cognizant) or equivalent director/senior manager roles in financial services technology. * Demonstrated expertise working in a forward-deployed or embedded model, owning end-to-end solution delivery from architecture through production launch and ongoing optimization. * Hands-on technical expertise in modern AI stacks: LLMs, RAG, vector databases, cloud platforms, and ML engineering practices. * Prior experience in financial services (investment banking, capital markets, wealth management, payments, insurance) or other regulated domains (healthcare, government). * Strong communication skills: ability to translate technical AI concepts for C-suite audiences and facilitate workshops with business and risk stakeholders. These will help you stand out LLM & Agentic Systems * Deep, hands-on understanding of LLM architecture, capabilities, limitations, and fine-tuning approaches; experience with GPT-4, Claude, LLaMA, and domain-specialized models. * Advanced expertise in multi-agent orchestration patterns: hierarchical agents, collaborative agents, tool-using agents, memory strategies, and long-horizon planning for financial workflows. * Proficiency with prompt engineering, in-context learning, chain-of-thought, and few-shot prompting for complex financial reasoning tasks (credit analysis, risk assessment, advisor-style interactions). Context & Retrieval Architecture * Production experience designing and implementing retrieval-augmented generation (RAG) systems, including chunking strategies, embedding models, vector databases (Pinecone, Weaviate, Milvus), and hybrid search (semantic + lexical). * Data engineering expertise: ETL/ELT pipelines, streaming architectures (Apache Kafka, Spark Structured Streaming), data quality frameworks, and metadata management catalogs. * Knowledge graph and semantic layer experience: designing ontologies, entity resolution, relationship extraction, and knowledge graph querying for financial contexts (counterparties, instruments, risk factors, regulatory entities). * Experience with feature stores and data products as foundational context infrastructure; ability to define and operationalize data product contracts. AI Governance, Safety & Evaluation * Familiarity with AI safety and evaluation techniques: benchmark design, task-specific metrics, human-in-the-loop review, red teaming, jailbreak testing, and bias/fairness audits. * Working knowledge of NIST AI Risk Management Framework, ISO 42001, BCBS 239 data governance principles, and emerging financial AI regulations (EU AI Act, Treasury AI guidance). * Experience with model risk management (MRM) frameworks, model cards, impact assessments, and governance workflows for high-risk AI systems in regulated environments. Cloud & Data Platforms * Production architecture and deployment experience on major clouds (AWS-Bedrock, SageMaker, EC2; Azure-Copilot, OpenAI Service, App Service; GCP-Vertex AI). * Proficiency with enterprise data platforms: Snowflake (architecture, Cortex AI), Databricks (LLMs, fine-tuning), Palantir Foundry (ontologies, apps), Microsoft Fabric (data engineering, AI services). * Security, compliance, and observability: encryption at rest/in transit, IAM, audit logging, HIPAA/SOX/GDPR compliance controls, and monitoring/alerting. Software Engineering & AIOps / MLOps * Strong Python and at least one of TypeScript, Java, or Scala; experience building production ML/AI systems, not just prototypes. * Hands-on MLOps, LLMOps, and CI/CD: infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), experimentation platforms, and model deployment pipelines. * API design and integration: designing REST/GraphQL APIs, integrating AI systems into microservices architectures, event-driven systems, and enterprise applications (core banking, trading systems). We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Work Authorization: Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.) Salary and Other Compensation: The annual salary for this position is between $137,250 - $250,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: * Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off. * 401(k) plan and contributions. * Long-term/Short-term Disability. * Paid Parental Leave. * Employee Stock Purchase Plan Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice-we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the Role: As a Lead Consultant - Core Banking Solutions , you will make an impact by owning and delivering critical workstreams within large-scale core banking transformation programs for major financial institutions. You will be a valued member of the Banking & Financial Services Consulting team and work collaboratively with clients, product teams, engineering, and program leadership to drive successful implementations and client outcomes. In this role, you will: * Own one or more core banking workstreams, such as deposits and product configuration, loan servicing, customer and party data, general ledger and reporting, or system integrations. * Lead requirements definition, data mapping, and workflow design aligned to core platforms such as IBS and Profile. * Drive configuration and customization activities, including product setup, parameters, tables, and forms using core banking authoring tools. * Plan and execute testing activities, including mock conversions, report-based validation, and pre-conversion balancing across operational and GL data. * Support client readiness, lead UAT execution and defect triage, contribute to cutover activities, and secure formal client acceptance for in-scope deliverables. Work model: We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position with up to 20% travel within the United States open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you need to have to be considered: * 7-12+ years of experience delivering core banking implementations for large financial institutions. * Hands-on experience with IBS and/or Profile, including configuration and data conversion artifacts. * Proven delivery of field-level data mapping, mock conversions, UAT leadership, and GL reconciliation. * Strong ability to translate business requirements into functional specifications and collaborate with developers on customizations. * Demonstrated client-facing experience leading workshops and working in a professional services or consulting environment. These will help you stand out: * Experience with API-based integrations and open banking patterns. * Prior ownership of cutover planning, go-live execution, and hypercare support. * Ability to mentor junior consultants and contribute to cross-workstream coordination. * Strong analytical skills, attention to detail, and a structured approach to delivery and risk management. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Total Compensation: The base salary for this position ranges between $81,450 - $129,500 per year. This position is eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers a competitive benefits package, which may include: * Medical, dental, vision, and life insurance * 401(k) plan with contributions * Paid holidays and paid time off * Paid parental leave and family support programs * Learning and development programs and certifications Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

This position plays a critical role in ensuring the success of our API integrations and overall client satisfaction. Experience with debugging tools, logging systems, and performance monitoring. Committed to delivering a high-quality client experience.

Job Description Bluu Inc. is provider of payment processing services, and a developer of Point-Of-Sales solutions. We provide one-stop shopping or payment processing, POS hardware and software, online ordering, online booking appointment, gift card, and loyalty program solution. Location: Hackensack, NJ Full Tim, On-Site Position Description: • Define, implement and maintain Payment Processing Gateway, • EMV (Europay, MasterCard and Visa) certification, • Enable secure and high-availability solutions, • Participate in peer design and code reviews, • Design, develop, consumer, and maintain well-defined APIs, • Create and utilize automated unit tests to ensure the quality of code, • Participate in broader architectural reviews, • Research and proof-of-concept work with new technologies, • Provide estimates and technical feasibility guidance on prospective work Requirements: • 2+ years experience in .Net framework leveraging ASP.Net, .Net Core and C#, and HTML/CSS web development, experience with java and Android is a plus, • 2+ years experience in database principles, such as MSSQL server, experience with NoSQL is a plus, • Knowledge and experience in socket programming, • Knowledge and experience in multithreading programming - (asynchronous programming, race conditions, and deadlock), • Knowledge and experience in WCF (Windows Communication Foundation) & REST API design and implementation, • Self-motivated, quick learner who can manage multiple projects with moderate direction, • Familiarity with Agile methodologies, • Strong communications skills, • Bilingual in Korean and English Required Benefits: • Group Health Insurance, • Life Insurance, • 401k matching,, • Paid Vacation and Sick Time, • Paid Holidays, • Lunch Support, • Gym Support

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Salary: $9k+ /month Contract term 1yr Work Location: Ridgefield Park, NJ Bilingual (Korean and English) required We are seeking an experienced DevOps Engineer to assist with the maintenance, development, and implementation of one of our Intranet systems. The candidate must have a solid development background across multiple technical disciplines including J2EE web application development, Java client/server development, and Database Development. Job Description • 9+ years in DevOps, web based related system development including Java experience in developing or maintaining intranet systems., • Experienced Java Developer with either knowledge in the following areas; Full J2EE stack, RIA framework, Spring, iBatis/Hibernate/JPA, Java, JDBC, JSP/Servlet, Web Services, JMS, etc., • Experience with either applications servers: WebLogic, JBoss, Tomcat, or Sun One J2EEWAS, • Experience with HTML/DHTML, jQuery/JSON, Java Script, AJAX, • Experience with Database modeling with RDBMS (Oracle, MS SQL, Maria DB, Etc.), • Experience with RDBMS store procedure & function development, • Bachelor’s degree in Computer science or related discipline with an information technology focus, • API development experiences are plus, • ETL development experience with ETL Tools (Alteryx, Oracle Data Integrator, MS SQL SSIS, etc.) preferred, • BI reporting tool (Tableau, MS Power BI, etc.) development experiences are preferred, • Working with Samsung Global Systems such as Next ERP/GSCM preferred, • Full lifecycle of ETL implementation understanding preferred (analysis, architecture, design, development, data extraction, staging and storage, transformation, presentation, testing, cutover/go-live planning), • Bilingual (Korean and English) required Additional Information All your information will be kept confidential according to EEO guidelines.

A leading tech company in Yonkers is seeking a Senior Software Engineer to enhance product experiences through effective API design and backend services.

Job Description Title: Senior Full Stack Developer Location: Brooklyn, NY Duration: 2 Years Contract Description Interview: • Implement all phases of SDLC including conceptual design, development, testing, deployment, and ongoing enhancements, • Analyze business and technical requirements and propose system, file, and UI designs, • Deploy applications across multiple environments (Development, QA, Staging, Production), • Conduct unit and integration testingDetailed Responsibilities, • Architect and develop backend solutions using Python, Django (4.x), and Django REST Framework, along with frontend applications using React, • Design and implement new data models, serializers, and REST API endpoints while ensuring modularity and minimizing regression risks, • Develop and implement business logic for eligibility, workflows, and configurable rules with minimal dependency on code changes, • Enhance frontend applications to support directory listings, search functionality, application workflows, and eligibility messaging, • Implement and adapt matching/assignment algorithms and processing pipelines based on business rules, • Develop and maintain waitlist and workflow logic ensuring compatibility with existing systems, • Write PostgreSQL queries, schema designs, and migrations in collaboration with database teams, • Implement asynchronous processing using tools like Celery for bulk and background operations, • Develop comprehensive unit, integration, and regression test suites, • Validate system performance under high load and ensure scalability, • Ensure accessibility compliance (WCAG 2.1 AA) for all user-facing featuresRequired Qualifications, • 8+ years of experience in software analysis, design, and development for large-scale, public-facing web applications, • 8+ years of experience with Python and Django (Django 4.x preferred), including Django REST Framework, • 6+ years of experience with React for building modern user interfaces, • 5+ years of experience with PostgreSQL, including schema design, migrations, and query optimization, • 5+ years of experience with Redis and Celery for caching and distributed task processing, • 4+ years of experience in unit testing, integration testing, and automated regression testing (Python and JavaScript frameworks), • 4+ years of experience working in CI/CD environments (Azure DevOps or similar), • 4+ years of experience validating application performance and behavior across integrated systemsPreferred Qualifications, • Experience in education, government, or large public-sector systems, • Experience implementing algorithms (matching, placement, optimization) in production environments, • Familiarity with accessibility standards (WCAG 2.1 AA), responsive design, and SSO/SAML authentication, • Experience with high-concurrency systems, caching strategies, and async processing, • Experience with end-to-end testing tools (e.g., Cypress) and performance testing tools, • Familiarity with secure coding standards (e.g., OWASP Top 10)

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AI and machine learning are redefining how CR serves consumers—helping people make informed choices through intelligent, data-driven experiences. The Full-Stack Software Engineer – AI/ML & Data Science will design, build, and deploy modern web applications and Services that operationalize AI and ML capabilities. Reporting to the Associate Director, AI/ML & Data Science, this role bridges cutting-edge data science with production-grade software, developing user-facing tools, APIs, and services that make AI models accessible and impactful. If you love working across the full technology stack—turning AI models and data into products that empower millions—this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How'll You'll Make An Impact: As a mission-driven organization, Consumer Reports is pursuing an ambitious AI strategy designed to drive value for our customers, empower our employees with next-generation tools, and address AI harms in the digital marketplace. Join our Data Office and help execute on a strategic, multi-year roadmap focused on advancing Machine Learning and Generative AI initiatives. As a Full-Stack Software Engineer on the team you will: • Design and develop full-stack web applications, Data APIs, analytics dashboards that integrate AI/ML models., • Build and maintain backend services and APIs using Python (FastAPI, Django) and Node.js, integrating with Databricks, AWS SageMaker, or similar platforms., • Develop intuitive, responsive front-end interfaces using React.js, Next.js, JavaScript, and CSS (TailwindCSS or similar)., • Deploy scalable, cloud-native applications leveraging AWS, GCP, or Azure infrastructure., • Work with AI/ML engineers to implement Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI model endpoints., • Implement secure authentication, data access, and API management for consumer and internal applications., • Build CI/CD pipelines, automate testing, and optimize system performance for production workloads. You'll Be Highly Rated If: • You have the experience. 5+ years of experience building full-stack applications in production using Python, Javascript, SQL/NoSQL systems and frameworks., • You have the education. You've earned a Bachelor's degree in Computer Science, Engineering, or a related field., • You have experience integrating software systems with AI/ML services, Data APIs, or model endpoints., • You thrive on building software that bridges complex AI models with real-world use., • You enjoy working across frontend, backend, and cloud systems to deliver complete solutions. At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job DescriptionCompany Description Working Location: Ridgefield Park, NJ Contract Period: ASAP - 1 year Pay rate: $9,000/M DOE Bilingual (Korean and English) required We are seeking an experienced DevOps Engineer to assist with the maintenance, development, and implementation of one of our Intranet systems. The candidate must have a solid development background across multiple technical disciplines including J2EE web application development, Java client/server development, and Database Development. Job Description • 9+ years in DevOps, web based related system development including Java experience in developing or maintaining intranet systems., • Experienced Java Developer with either knowledge in the following areas; Full J2EE stack, RIA framework, Spring, iBatis/Hibernate/JPA, Java, JDBC, JSP/Servlet, Web Services, JMS, etc., • Experience with either applications servers: WebLogic, JBoss, Tomcat, or Sun One J2EEWAS, • Experience with HTML/DHTML, jQuery/JSON, Java Script, AJAX, • Experience with Database modeling with RDBMS (Oracle, MS SQL, Maria DB, Etc.), • Experience with RDBMS store procedure & function development Bachelor’s degree in Computer science or related discipline with an information technology focus • API development experiences are plus, • ETL development experience with ETL Tools (Alteryx, Oracle Data Integrator, MS SQL SSIS, etc.) preferred, • BI reporting tool (Tableau, MS Power BI, etc.) development experiences are preferred, • Working with Samsung Global Systems such as Next ERP/GSCM preferred, • Full lifecycle of ETL implementation understanding preferred (analysis, architecture, design, development, data extraction, staging and storage, transformation, presentation, testing, cutover/go-live planning), • Bilingual (Korean and English) required Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Location: Ridgefield Park Contract Period : 7 week Pay rate: $8,600/M DOE Lead cross-functional development teams building enterprise-grade distributed systems. Manage the full project lifecycle for microservices, API integrations, and DevOps initiatives. Gather business requirements, translate them into functional specifications, and ensure comprehensive documentation and smooth project handovers. Job Description • Requirements & Business Analysis: Conduct stakeholder interviews and user workshops; create BRDs, FRDs, user stories, and acceptance criteria; manage requirements traceability and obtain sign-offs, • Project Planning & Execution: Develop project plans, WBS, and schedules; manage scope, budget, and resources; coordinate releases across environments, • Team Leadership: Lead Java developers, DevOps engineers, QA, and DBAs; facilitate Agile ceremonies; remove blockers and maintain team velocity, • Stakeholder Communication: Serve as liaison between technical teams and business; deliver executive reports and presentations; manage expectations and escalations, • Documentation: Maintain project documentation, meeting minutes, and decision logs; create process flows, SOPs, and user guides, • Project Handover: Develop handover packages, runbooks, and troubleshooting guides; conduct knowledge transfer sessions; obtain formal acceptance, • Technical Coordination: Oversee microservices, CI/CD pipelines, containerization (Docker/Kubernetes), database migrations, and monitoring implementationsQualifications Experience: • 7+ years project management in software development; 5+ years with enterprise Java/API/distributed systems, • 3+ years Agile/Scrum in DevOps environments; 3+ years business analysis and requirements gathering, • Microservices architecture, RESTful APIs, Spring Boot ecosystem, message brokers (Kafka/RabbitMQ), • CI/CD pipelines (Jenkins/GitLab CI), Docker, Kubernetes, Linux environments, • Exceptional communication, presentation, and facilitation skills for technical and non-technical audiences, • Strong technical writing; proficient in creating BRDs, FRDs, process flows (Visio/Lucidchart/Miro), • BS/BA in Computer Science, IT, or Business Administration, • Previous experience as developer, BA, or technical lead; cloud platforms (AWS, Azure, GCP), • ITIL certification; experience with UAT coordination, change management, and organizational transformation Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered agent for This role offers hands-on experience with cutting-edge Small language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Small Language Models (SLMs):, • Understanding and working with lightweight models such as Phi-3 (Microsoft), Llama(Meta), Mistral (Mistral), Gemma (Google), and TinyLlama (for resource-constrained environments)., • Design Phase:, • Requirements Gathering: Using Figma for UI/UX design and workflow planning., • Data Analysis: Utilizing Jupyter Notebooks and pandas for data exploration, cleaning, and analysis., • Model Selection: Leveraging Hugging Face Model Hub to compare, select, and download pre-trained models., • Development Framework:, • Core Framework: Building SLM-powered applications using LangChain or Lanngraph for orchestration and workflow management., • Model Serving: Deploying models locally with Ollama or at scale with vLLM for efficient inference., • Vector Database: Implementing semantic search and retrieval-augmented generation (RAG) using ChromaDB., • API Framework: Developing RESTful APIs with FastAPI (Python) or Express.js (Node.js) to expose model functionality, • Development Tools:, • IDE: Coding in VS Code, ideally with Python and Copilot extensions for productivity., • Model Fine-tuning: Customizing models using Hugging Face Transformers and parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA., • Prompt Engineering: Managing and optimizing prompts with LangSmith or PromptLayer., • Version Control: Tracking code and data changes with Git and DVC (Data Version Control)., • Experiment Tracking: Logging experiments, metrics, and results with MLflow or Weights & Biases., • Testing Stack:, • Unit Testing: Writing and running tests using pytest or unittest to ensure code correctness., • Model Evaluation: Assessing model performance with RAGAS (for RAG pipelines) and DeepEval., • Load Testing: Simulating high-traffic scenarios using Locust or Apache JMeter., • Quality Assurance: Using LangChain Evaluators and custom metrics to ensure output quality and reliability., • Deployment Stack:, • Containerization: Packaging applications with Docker or Docker Compose for portability and reproducibility., • Orchestration: Managing and scaling containers with Kubernetes (K8s) or Docker Swarm., • Model Optimization: Accelerating inference and reducing resource usage with ONNX Runtime, OpenVINO, or llama.cpp., • API Gateway: Managing and securing APIs with Apigee., • Observability: Monitoring application and model performance with LangSmith., • CI/CD: Automating build, test, and deployment pipelines with GitHub Actions or GitLab CI., • Infrastructure Options:, • On-Premise: Deploying solutions on local servers with GPU or CPU resources., • Cloud: Utilizing GCP (Vertex AI) for scalable, managed AI infrastructure., • Hybrid: Integrating edge devices for local inference with cloud backup for resilience and scalability., • Environments vary by intership function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description Versant is seeking a highly skilled Senior Software Engineer to join our FinTech team and help design, build, and scale high-quality global software solutions that handle high-volume payment processing and fund distribution. In this role you will collaborate closely with product managers, finance, compliance, engineering peers, and our QA team to drive technical initiatives, being responsible for ensuring money flows reliably, securely, and on time across our platform and that everything meets or exceeds strict performance and regulatory standards. This role is ideal for engineers who have an open mind for innovation and expansion but also a clear understanding and appreciation for regulations and standards. WHAT YOU'LL DO As a Senior Software Engineer on our team, you will: • Design, implement, and maintain reliable systems for processing payments, scheduling payouts, and reconciling transactions., • Ensure funds distribution happens on time and at scale, with strong SLAs and monitoring., • Collaborate with Finance, Compliance, and Product teams to build features that meet regulatory, tax, and reporting requirements, • Integrate with third-party payment processors, banks, and financial networks (ACH, wire transfers, card processors, digital wallets), • Architect systems for auditability, security, and fault tolerance across distributed services, • Implement and improve automated reconciliation, ledgering, and reporting pipelines, • Lead technical discussions on scalability, reliability, and fraud prevention in payment systems., • Work closely with first party and third party integrators, contribute to code reviews, and promote engineering best practices., • Drive process improvements in CI/CD, monitoring, alerting, and observability for financial workflows.Qualifications WHAT WE'RE LOOKING FOR: • 5+ years of experience building backend systems, with at least 2 years in a senior/lead capacity, • Strong proficiency in C#, ASP.NET (Web API) and SQL Server, • Hands-on experience with payment processing, banking integrations, or financial transaction systems, • Deep understanding of databases and transactional integrity (SQL Server, Postgres, MySQL, or NoSQL systems), • Familiarity with event-driven architectures, queues, and schedulers (Kafka, RabbitMQ, SQS/SNS, etc.), • Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code, • Knowledge of security and compliance standards for payments (PCI DSS, SOC 2, GDPR), • Strong communication skills and ability to collaborate across engineering, finance, and business teams, • Experience with NodeJS, TypeScript and Angular. Experience with Mobile development (.NET MAUI, Objective-C, Android, etc.), • Experience working with ACH, SEPA, card networks, or real-time payment rails, • Background in ledgering systems, accounting workflows, or treasury operations Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered deep research agent for This role offers hands-on experience with cutting-edge large language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Large Language Models (LLMs):, • Understanding and working with commercial/proprietary LLMs such as Gemini( Google), GPT(OpenAI) and Claude Sonnet (Anthropic)for high performance, large context, and multimodal tasks., • Familiarity with open-source/self-hosted LLMs like Llama from Meta and Mixtral from (Mistral AI)., • Design & Planning Phase:, • Requirements Gathering: Using Confluence for documentation and collaboration., • Architecture Design: Creating system diagrams and workflows with Lucidchart., • Prototyping: Designing UI/UX prototypes in Figma., • Project Management: Tracking tasks and progress in Jira., • Data Preparation & Management: Cleaning, transforming, and organizing data for use in AI/ML workflows., • Development Framework & Tools:, • Core LLM Frameworks: Using LangChain or LlamaIndex for orchestrating LLM applications., • Agent Frameworks: Building multi-agent systems with Semantic Kernel, CrewAI, and LangGraph., • Prompt Management: Managing and optimizing prompts with LangSmith., • Vector Databases & Search:, • Implementing semantic search and retrieval using Vertex AI Vector DBs, • Backend Development:, • API Framework: Developing RESTful APIs with FastAPI (Python)., • Message Queue: Integrating asynchronous communication with Apache Kafka and Redis Streams., • Frontend Development:, • Web Framework: Building user interfaces with React or Angular., • UI Components: Utilizing Material-UI for consistent, modern UI elements., • IDE: Using Google AI Studio for AI application development., • Development Tools:, • IDE: Writing and debugging code in VS Code., • AI Assistants: Leveraging GitHub Copilot and Cursor for code suggestions and productivity., • Version ControlManaging code with GitHub, or GitLab., • Code Quality: Ensuring code quality and standards with SonarQube, ESLint, and Pylint., • Model Fine-tuning & Customization:, • Fine-tuning Platforms: Using Vertex AI Tuning for model customization., • Training Frameworks: Training and experimenting with models in PyTorch, TensorFlow, or JAX., • Efficient Training: Applying parameter-efficient fine-tuning (PEFT) methods like LoRA and QLoRA., • Synthetic Data: Generating synthetic data., • Evaluation: Assessing models with HELM, lm-evaluation-harness, and custom benchmarks., • Testing Stack:, • LLM-Specific Testing: Using RAGAS, and DeepEval for LLM evaluation; LangSmith Evaluators for prompt testing; hallucination detection., • Deployment & Infrastructure:, • Containerization: Packaging applications with Docker., • Orchestration: Managing containers at scale with Kubernetes and Google GKE., • Cloud Platforms:, • Using Google Cloud Platform (GCP) services such as Vertex AI for ML, GKE for Kubernetes, Cloud Run for serverless deployment, and Cloud Functions for event-driven tasks., • LLM-Specific Monitoring:, • LLM Observability: Monitoring LLM performance and usage with LangSmith and Weights & Biases., • Cost Tracking: Monitoring and optimizing costs with OpenMeter and custom dashboards., • Quality Monitoring: Setting up continuous evaluation pipelines to ensure model quality and reliability., • Environments vary by internship function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Qualifications This describes the ideal candidate, but above all, we value people that are eager to grow, autonomous, work together, and love to get things done! 3+ years of experience in Data Engineering or related sphere Bachelor degree or equivalent relevant work experience Experience with workin

An established industry player is seeking a hands-on technical lead to guide a talented team in API and microservices development.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Job Title: Salesforce Project Manager.Location: NY/NJ (Hybrid – 3 days/week).Seeking a Senior Project Manager to lead Salesforce B2B delivery projects, managing end-to-end execution, stakeholders, and cross-functional teams.Manage multiple Salesforce projects (scope, timeline, budget).Drive projec

Compensation: Varies per assignment.Location: Remote (USA) Company: ProductReviewJobs Thank you for your interest in becoming a Paid Product Tester.This opportunity is for completing market research opportunities with independent brands via online or phone.Online studies typically take 15 minute

Preferred Skills Development experience with C#, Java, Python, Go or other programming languages Working knowledge of software engineering practices and software lifecycle models Experience in containerized deployments using Docker or Kubernetes Experience in developing automated unit tests Familiar

Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Person

Prior related internship, co-op or work experience (paid or volunteer) Department of Energy (DOE), Department of Defense (DOD) or Naval Nuclear Program experience Compensation and Benefits NNL offers an outstanding Compensation and Benefits package for interns which includes: Competitive Salary Defi

NYS Code Rule 56) and work practices • Strong Communication Skills • Experience using SharePoint, Primavera P6, Microsoft Office • Ability to work with medium cross functional teams Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(

Preferred Skills PMP Certification Primavera P6 Experience Familiar with Construction Work Scopes Familiar with Engineering Concepts Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal

Customer Service / Remote] - Anywhere in U.Flex Schedule 7a-11p EST / Medical-Dental-Vision-Life-AD&D / 401(k) +3% / Generous PTO + Parental Leave - As a FT - Call Center Representative - Work From Home at Lap Of Love, you will: Assist clients with their end-of-life care needs by answering phone cal

Customer Service / Remote] - Anywhere in U.DOE / Health-Dental-Vision-Life-FSA-HSA / 401(k) plan - As a Call Center Representative, you will: Assist customers with inquiries and concerns through multiple communication channels including phone, email, and chat; Provide exceptional customer service by

Customer Service / Remote] - Anywhere in U.Medical-Dental-Vision-401(k) with match / Hours: 6p-2a HST - As a Call Center Specialist, you will: Answer incoming calls from clients seeking information about pet hospice services; Provide compassionate and knowledgeable support to pet owners during diffi

As a FT Call Center/Customer Service Rep [Work From Home], you will: Handle incoming calls and inquiries from customers in a professional and courteous manner; Provide accurate and efficient assistance with customer inquiries, complaints, and requests; Maintain a high level of product knowledge to e

Customer Service / Fully Remote] - Anywhere in U.Competitive pay / $500 retention bonus / Medical, dental, and vision / 401K / PTO / Equipment provided / Paid training - As a Call Center Support Rep you'll: Receive a large volume of inbound phone calls; Assist with outbound call campaigns; Answer ge