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About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Ensure adherence to enterprise software quality, performance, and compliance requirements. Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience in regulated industries (e.g., Property & Casualty insurance) preferred. Nice to Have • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption., • Demonstrated ability to lead the full lifecycle of modeling software adoption-including evaluation, implementation, and integration into enterprise systems and business processes. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our _. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $130,000.00 - USD $176,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. Role

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our goal is to make everyone feel valued for their contributions to the company's mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us. As a Senior Solutions Engineer you will: Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) Supporting the technical needs of customers including discovering new use cases for Cloudera's technology Designing solutions for your customers' needs using Cloudera technologies, based on reference architectures and common patterns Demonstrating Cloudera products in a way that inspires your customers to say "yes" to Cloudera Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales Presenting product roadmap and vision to inspire your customers to think bigger Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice Advocating for your customers' needs to Product Management and Engineering Participating in external publicity and evangelism (conferences, meetups, webinars, blogs) Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community. We're excited about you if you have: A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers Bachelor's degree in related field of study or equivalent work experience. A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context The ability to create and give technical presentations and demonstrations Experience with some of the following technologies: Big Data, Data Warehousing or Relational Databases One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required, but would be a great thing to have Data Engineering, Data Science or Machine Learning Operations, Security and Data Governance within the enterprise Unix or Linux Experience gathering and understanding customer business requirements Excellent written and verbal communication Problem solving skills A willingness to learn, a curiosity to discover and a drive to make your customers successful The expected base salary range for this role in New York base salary $171,000 - $210,000 Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable The salary will vary depending on your job-related skills, experience and location This role is not eligible for immigration sponsorship (Note: Base Salary Ranges will be calculated from a % of OTE, based on split) What you can expect from us: Generous PTO Policy Support work life balance with _ Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages _ Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. Big Data Engineering or ML Engineering.

Big Data Engineering or ML Engineering. Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering. We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills 9+ years of hands-on in professional software development 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) Strong understanding of data structures, indexing, and searching required Ability to integrate with Elasticsearch and run queries/reports 3+ years of experience building microservices 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift Experience with Kafka and other technologies Can apply principles of Test-Driven Development Experience with writing test cases Able to write build scripts Experience with Kubernetes and Terraform Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. Experience integrating applications with Redis/Memcached a plus Nice to Have Skills Experience with Flutter Development of mobile and tablet devices AI/Machine Learning experience a plus Experience with Big Query and Metabase Experience developing Vertical SaaS ERP Software Personal Skills A passion for building software and streamlining process issues Demonstrate tenacity when solving challenging problems in a deadline-driven environment Experience with Scrum/Agile Methodologies Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team Able to be self-motivated and work independently as needed to solve complex problems Taking pride in work and desire to make projects succeed Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership., • Document system configurations, processes, and workflows to ensure knowledge transfer. Skills and Technologies Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • Virtualization: VMware vSphere, ESXi, and vCenter VMware and Virtualization: • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • Multi-site failover and business continuity planning (BCP) Storage Solutions: • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Data retention, deduplication, and archiving strategies Monitoring and Performance: • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Additional certifications such as Microsoft, Cisco, or cloud platform certifications (Azure/AWS) are a plus. Soft Skills • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

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 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 The Junior Mechanical Engineer will assist with equipment evaluation, process improvements, troubleshooting, and prototyping, while learning to take on increasing responsibility over time. This is a hands-on role that works closely with operations, maintenance, and production teams. Key Responsibilities:  Assist in evaluating and improving existing production equipment  Support the specification and implementation of new machines for manufacturing operations  Help select and maintain tooling for machining and production processes  Assist in optimizing machine parameters (cutting speeds, feed rates, cycle times, etc.)  Support efforts to improve production flow and line efficiency  Work with the Mechanical Engineer to troubleshoot equipment and process issues  Help train machine operators on proper machine use and best practices  Assist in prototyping and testing using tools such as 3D printers, lathes, and milling machines  Document processes, improvements, and standard work instructions Required Qualifications  Bachelor’s degree in Mechanical Engineering or related field (or in progress)  0–2 years of experience in a manufacturing or production environment (internships/co- ops acceptable)  Basic familiarity with industrial machinery (CNC routers, mills, saws, etc.)  Fundamental understanding of machining principles, tooling, feeds, and speeds  Strong willingness to learn and develop hands-on technical skills Company DescriptionRecruiting CompanyRecruiting Company

DTCC offers competitive compensation, health benefits, and a flexible work model of 3 days onsite and 2 days remote. The Depository Trust & Clearing Corporation (DTCC) in Jersey City, NJ, seeks a Principal Data Scientist / Machine Learning Engineer to drive data engineering and machine learning proj

Big Data Engineering or ML Engineering. We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams.

About The Role**The Principal AI/Machine Learning Engineer will oversee defining and executing ZT’s roadmap for applying artificial intelligence and machine learning in manufacturing. Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiative

The Principal AI/Machine Learning Engineer will oversee defining and executing ZT’s roadmap for applying artificial intelligence and machine learning in manufacturing. Principal AI / Machine Learning Engineer. Serve as the bridge between industrial engineering, factory engineering teams, quality,

Write clean, efficient, and well-documented code, following best software engineering practices. Background in mentoring or leading small engineering teams. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environ

Background in developing and deploying machine learning solutions in production settings. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason,

We encourage a diverse work environment of sharing, learning, and ceding together.

Location - Jersey City (Remote).Strong expertise in guidewire policy center and guidewire claim center configuration and customization.Proficiency in guidewire data model, rules, and integration technologies.Ability to translate business requirements into technical solutions within guidewire platfor

We are looking for someone that has experience in managing cashiers for 30 Burgers in Hoboken.The pay will be between $16 and $18 an hour plus tips when working the POS based on experience.Tips can add another $1 to $5+ per hour to final pay.Some of the job responsibilities include hiring and traini

Starting Hourly Rate / Salario por Hora Inicial: $18.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.You can work as much or as little as you like as an On-Demand Team Member (TM) and your schedule may vary de

Be an ambassador of our Guiding Values and Behaviors by making people smile, learning and growing together, finding solutions and taking initiative, working (and winning) as a team, having fun and celebrating success, and seeing the best in others!.

At Smashburger, we don't just make burgerswe create crave-worthy moments that keep guests coming back for more.We're driven by a shared commitment to excellence, working as one team and taking bold action to deliver unforgettable experiences.Here, you'll be part of a group that works hard and genuin

We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e. Master's degree in statistics, economics, operations research, engineering, or related field.

The starting hourly rate is $17.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.You can work as much or as little as you like as an On-Demand Team Member (TM) and your schedule may vary depending on shift avai

Pactiv Evergreen - - Responsibilities: Operate bag machinery to produce high quality bags; Check bags for quality defects and complete paperwork; Change rolls and thread paper through machine; Monitor and adjust machine speeds / start / stop / jog; Submit daily production reports and meet safety, q

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.

Product Management/ Product Owner, Project Management.Business Requirements Analysis, Elicitation and Validation.Agile Product Development, Agile Methodology, JIRA, Confluence, User Stories.Data Analysis, Data Mapping, Data Migration, Data Modeling, Systems Integration, APIs.UI/UX Prototyping, Wiref

Months with extensions up to 24 months).W2 (Cannot subcontract or C2C).Matlen Silver is actively recruiting for a Business Analyst with a strong Data Analysis background and knowledge of Market Risk to define the end to end business & functional requirements to support the target business proces

Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Write production-level code and p

Predictive Analytics, and Machine Learning to join a leading analytics consulting engagement. Build ML-driven solutions using statistical and machine learning techniques. Preferred Machine Learning Expertise.

Citizen; Minimum 2 years of project management or project engineering experience; Technical experience in electronics, radio frequency systems, photonics, engineering, and/or physics; and Experience in office automation software, specifically word processing, presentations, spreadsheets, email, and

Part-Time Store Cashier/Stocker.ALDI is looking for enthusiastic part-time cashiers and stockers.As a cashier, you'll provide friendly, efficient checkout service, while as a stocker, you'll help keep shelves stocked and organized to ensure a great shopping experience.Each role plays an important pa

Front Of House Team Member, Cashier.The Front of House Team Member, Cashier's responsibility is to provide an unforgettable experience for our customers thru guiding them around the menu and supporting them in completing an order that fits their needs and expectations.Welcoming new and repeat guests

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.