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As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: Full Stack AI Developer to support enterprise AI initiatives across underwriting, claims, operations, and digital platforms. This role combines full-stack software engineering with applied AI/ML and Generative AI development, including Large Language Models (LLMs), Multiagent system design, and intelligent automation. • Design and develop full-stack AI-enabled applications using Python, React/Next.js, and REST/GraphQL APIs., • Build and integrate Generative AI solutions including copilots, document intelligence, and conversational workflows., • Implement agentic AI patterns, RAG architecture, MCP servers and workflow orchestration., • Develop scalable backend services and microservices., • Implement parameter-efficient fine-tuning (PEFT) techniques like LoRA/MLoRA., • Implement MLOps/LLMOps pipelines with CI/CD using Azure DevOps., • Deploy and manage AI applications on Azure Cloud., • Ensure security, compliance, and responsible AI practices., • Mentor junior developers and conduct code reviews., • Participate in code reviews and provide mentorship to junior developers., • Bachelor's or Master's degree in Computer Science, Information Systems, or related field; or equivalent training/experience required., • 5+ years of experience in full-stack development (Python, React, .NET, SQL, PostgreSQL) required., • 3+ years of experience with Generative AI and Agentic AI architecture required., • Experience with AI/ML frameworks and cloud-based AI services required., • AI and Cloud certifications preferred., • Experience in the insurance industry is strongly preferred., • Proficiency in Python, React, .NET (Framework/Core), SQL, PostgreSQL., • Multiagent system design (agent orchestration, planning, coordination, tool invocation), • Experience with Azure DevOps, Azure Foundry, and Azure Cloud services, • Implementation experience of RESTful & event-driven architectures, and container technologies (Docker/Kubernetes)., • Experience with RAG architectures, techniques like LoRA/mLoRA and MCP Servers, • Familiarity with DevOps practices., • Knowledge of data integration, ETL processes, and data governance frameworks., • Experience with Agile/Scrum methodologies., • Excellent problem-solving, troubleshooting, and documentation skills.

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite, Price Rite Marketplace, The Fresh Grocer, Dearborn Market, Gourmet Garage, Fairway Market, and Di Bruno Bros. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. Position Overview Wakefern Food Corp’s Technical Division is seeking an experienced and innovative Application Architect to join our dynamic IT team. The ideal candidate will lead the design, development, and implementation of scalable application solutions that support our business operations across the organization, with a particular emphasis on optimizing and enhancing supply chain processes. This is a critical role in ensuring the seamless flow of goods, data, and services from suppliers to stores, leveraging technology to drive efficiency and resilience throughout our supply chain network. Responsibilities • Design and oversee the implementation of complex application architectures that align with business needs and IT strategy, focusing on solutions that streamline workflows and improve end-to-end operational visibility., • Collaborate with business analysts, developers, and key stakeholders to gather requirements and translate them into technical solutions that address real-world logistics and inventory challenges., • Develop and maintain architectural standards, guidelines, and best practices that support robust operations, ensuring flexibility and scalability for future growth., • Evaluate and recommend new technologies, tools, and frameworks to improve application performance, security, and scalability, with an eye toward innovations that can strengthen overall responsiveness and agility., • Ensure applications are robust, secure, and compliant with Wakefern’s IT policies and industry regulations, particularly those impacting safety and traceability in logistics., • Lead code and design reviews to maintain high standards of software quality with a focus on applications supporting logistics, procurement, and inventory management., • Mentor and guide development teams in best practices, architectural patterns, and emerging technologies relevant to retail and logistics technology ecosystems., • Participate in project planning, estimation, and risk assessment activities, with special consideration for continuity and risk mitigation strategies in operations., • Document application architectures, processes, and integration points, highlighting critical interfaces and dependencies within the business network. Qualifications • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred., • 10+ years of experience in software development and architecture roles, ideally with significant exposure to logistics or related domains., • Strong proficiency in designing enterprise-level applications using modern frameworks (e.g., Java, NodeJS, Python, SQL), with direct application to business operations preferred., • Experience with integration platform as a service (iPaaS) systems and/or event streaming technologies such as Apache Kafka, particularly as they apply to real-time data integration., • In-depth knowledge of API design, integration, and security best practices, including for partner connectivity and EDI transactions., • Excellent analytical, problem-solving, and communication skills., • Proven ability to manage multiple projects and priorities in a complex environment, with demonstrated success supporting initiatives in logistics or inventory management., • Experience working in the retail, logistics, or distribution industry is a plus., • Experience with IBM mainframe is a plus. Core Competencies • Communicate Effectively: Communicates thoughts and ideas in a well-organized manner, encouraging two-way communication., • Build Relationships: Creates cross-functional partnerships through the development and maintenance of constructive and cooperative relationships., • Stay Competitive: Demonstrates a mindset of continuous improvement while exhibiting passion and enthusiasm for their work., • Embrace Change: Looks for new ways of working by supporting advancements in processes and technology., • Develop You: Identifies and capitalizes on opportunities for personal and professional career growth., • Drive for Results: Supports divisional and strategic objectives through achievement of work goals. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements.

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility. Essential Functions • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems., • Implement and enforce data quality and governance standards to ensure the accuracy and consistency., • Provide input for project plans and timelines to align with business objectives., • Monitor project progress, identify risks, and implement mitigation strategies., • Work with cross-functional teams and ensure effective communication and collaboration., • Provide regular updates to the management team., • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure., • Communicates and promotes the code of ethics and business conduct., • Ensures completion of required company compliance training programs., • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies., • Stays current through personal development and professional and industry organizations. Responsibilities • Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations., • Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases., • Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability., • Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms., • Ensure data solutions and data sources meet quality, security, and compliance standards., • Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime., • Provide technical training, documentation, and ongoing support to end users of data automation systems., • Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures. Qualifications • A bachelor's degree or higher in computer science, information systems, or a related field., • Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.), • Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc., • Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage., • Experience with workflow orchestration tools such as Cloud Composer or Airflow, • Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc., • Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities., • Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search)., • Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale., • Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation., • Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle., • Hands-on experience with IBM DataStage and Alteryx is a plus., • Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization., • Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,, • Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar., • Familiarity with data modeling tools., • Familiarity with DevOps practices for data (CI/CD pipelines), • Proficiency in project management software (e.g., JIRA, Clarizen, etc.), • Familiarity with DevOps practices for data (CI/CD pipelines), • Strong knowledge and skills in data management, data quality, and data governance., • Strong communication, collaboration, and problem-solving skills., • Ability to work on multiple projects and prioritize tasks effectively., • Ability to work independently and in a team environment., • Ability to learn new technologies and tools quickly., • The ability to handle stressful situations., • Highly developed business acuity and acumen., • Strong critical thinking and decision-making skills. Working Conditions & Physical Demands This position requires in-person office presence at least 4x a week. Compensation and Benefits The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Summary The Security Engineer main role is to design, implement, and oversee our cybersecurity strategy, ensuring robust protection against evolving threats. The ideal candidate will have 7-10 years of experience in cybersecurity architecture, security operations, and risk management with a strong focus on enterprise security solutions, cloud security, identity & access management (IAM), and security best practices. The Security Architect must have hands-on experience with internet secure gateway, EDR, MDR, ITDR, secure email gateway, firewalls, MFA, scripting, policies, data classification, and cloud security controls. This role requires deep expertise in security frameworks, architecture principles, security automation, and compliance standards (NIST, CIS, ISO 27001, Zero Trust, etc.). Essential Functions • Develop and maintain a comprehensive security architecture covering on-premises, cloud, and hybrid environments., • Design security solutions that align with business objectives while mitigating risk., • Ensure Zero Trust principles, network segmentation, and security best practices are enforced across the enterprise., • Architect cloud security strategies, leveraging best practices for Azure and GCP., • Lead security investigations, conduct root cause analysis, and document incident response actions., • Provide threat intelligence and recommend proactive security measures to mitigate risk., • Implement and maintain cloud security controls in Azure and GCP., • Optimize cloud security solutions for web and network protection., • Ensure Active Directory (AD) and IAM policies align with best practices., • Support identity governance, access reviews, and privileged access management (PAM)., • Oversee the continuous best practice is leveraged for data classification policies and enforce data protection controls., • Conduct security assessments and ensure compliance with industry standards (PCI, NIST, CIS)., • Recommend, evaluate, and implement new security technologies based on business needs and threat landscape., • • Work with DevOps and IT teams to integrate security automation, security-as-code, and DevSecOps principles. Additional Functions • Threat Modeling & Risk Management:, • Conduct threat modeling, risk assessments, and security reviews for applications, infrastructure, and networks., • Provide technical leadership in responding to security incidents, forensic analysis, and root cause investigations., • Develop and maintain security policies, standards, and playbooks for security operations., • Collaborate with IT and business units to ensure security compliance with regulatory frameworks (PCI DSS, NIST, ISO 27001, SOC 2)., • Identity & Access Management (IAM) & Authentication:, • Design and enhance IAM policies, privileged access management (PAM), and role-based access control (RBAC)., • Enforce strong authentication and MFA strategies using Okta, Microsoft Authenticator, and AD., • Define identity threat detection and response (ITDR) strategies. Security Governance & Compliance: • Ensure security controls align with industry frameworks (NIST CSF, ISO 27001, CIS, Zero Trust, MITRE ATT&CK)., • Assist with audit, regulatory compliance, and security assessments., • Conduct penetration testing, red/blue teaming exercises, and vulnerability management programs., • Provide security guidance for third-party risk management and vendor security evaluations. Leadership & Collaboration: • Act as a subject matter expert (SME) in cybersecurity architecture and best practices., • Provide mentorship and training to security engineers and analysts., • Work cross-functionally with IT, DevOps, and executive leadership to align security strategy with business goals., • Develop security roadmaps and strategic initiatives for continuous security improvement., • Maintain and fine-tune security configurations across various security platforms., • Identify security gaps and recommend security enhancements and process improvements., • Develop playbooks and automation scripts to enhance security operations efficiency., • Conduct vulnerability assessments and penetration testing to identify security weaknesses in systems and applications., • Develop and implement security policies, procedures, and standards to ensure compliance with industry’s best practices and regulatory requirements., • Investigate security breaches and other security incidents to determine the root cause and implement corrective actions., • Stay up-to-date on the latest security threats and vulnerabilities and recommend appropriate security measures., • Collaborate with other IT teams to ensure that security is integrated into all aspects of the organization's IT infrastructure., • Participate in security audits and assessments to identify and address security gaps., • Develop and maintain incident response plans and procedures., • Evaluate and recommend security technologies and solutions to improve the organization's security posture. Qualifications • 7-10 years of experience in cybersecurity architecture, security operations, or cloud security., • Deep understanding of:, • Enterprise security architectures, security frameworks (NIST, CIS, Zero Trust, ISO 27001), and best practices, • Email secure gateway (Proofpoint, Mimecast), • Firewalls (Palo Alto, Cisco) and network security principles, • Cloud security (Azure, GCP) and security automation, • IAM, MFA, AD, Okta, Microsoft Authenticator, • Endpoint security, EDR, ITDR, and threat intelligence, • Data classification, DLP, and information protection, • Experience designing secure architectures for large-scale enterprises and cloud environments., • Strong knowledge of DevSecOps, security automation, and scripting (Python, PowerShell, Terraform)., • Excellent communication and leadership skills, capable of influencing security strategies across the organization., • CISSP Certifications (Required): CISM and CCSP is plus, • A bachelor's degree in computer science, information systems, or a related experience., • 7-10 years of experience in cybersecurity, security operations, or network security., • Hands-on expertise with:, • Zscaler, CrowdStrike, Microsoft Defender, Sophos, • Proofpoint (Email Security Gateway), • EDR & ITDR solutions, • Palo Alto & Cisco Firewalls, • Okta, Microsoft Authenticator (MFA), Active Directory (AD), IAM, • Cloud Security (Azure and GCP), • Data classification and protection strategies, • Strong knowledge of threat intelligence, SIEM, vulnerability management, and incident response., • Experience with security frameworks such as PCI, NIST, ISO 27001, CIS Benchmarks., • Strong analytical, problem-solving, and communication skills., • Ability to work independently and collaboratively in a fast-paced environment., • Excellent communication and interpersonal skills, capable of collaborating effectively with cross-functional teams. Working Conditions & Physical Demands This position requires in person office presence at least 4x a week.

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: The position is responsible for designing, building, deploying, and maintaining enterprise-grade Agentic AI solutions under the direction of an Sr. AI Engineer. This role focuses on implementing autonomous and semi-autonomous AI agents using large language models (LLMs), orchestration frameworks, and Azure-native AI services. The position supports intelligent automation initiatives across Insurance business domains by translating product requirements into scalable, secure, and observable AI systems. • Design, develop, and deploy Agentic AI systems based on product requirements defined by the Business SMEs., • Implement agent workflows including:, • Planning, execution, validation, and retry logic, • Tool and API invocation, • Context and memory management, • Build and maintain LLM-powered pipelines, including RAG-based architectures., • Integrate AI agents with enterprise systems using APIs, event-driven workflows, and automation services., • Develop and manage data ingestion and enrichment pipelines for structured and unstructured data., • Monitor AI system performance, accuracy, latency, and cost; implement optimizations and improvements., • Implement guardrails, safety mechanisms, and human-in-the-loop controls., • Support production deployment using Azure-native services and CI/CD pipelines., • Document system architecture, workflows, prompts, and operational runbooks., • Collaborate with product managers, architects, and data teams to iterate on AI solutions., • Participate in special projects and perform additional duties as required., • Bachelor's Degree in Computer Science, Engineering, or related field required., • 1-3 years of experience in AI/ML engineering, data engineering, or software engineering required., • Hands-on experience with LLMs, GenAI, or intelligent automation systems required., • Experience building AI solutions on cloud platforms, preferably Microsoft Azure required., • Exposure to Agentic AI, workflow orchestration, or multi-agent systems preferred., • Strong proficiency in Python and AI/ML libraries., • Hands-on experience with:, • LLMs, prompt engineering, and RAG architectures, • Vector databases and semantic search, • Agent orchestration frameworks, • Experience with Microsoft Azure, including:, • Azure OpenAI, • Azure Functions, Logic Apps, AKS, • Knowledge of API development and system integration., • Familiarity with CI/CD pipelines, Git-based version control, and Agile delivery., • Strong analytical, troubleshooting, and communication skills., • Azure AI Fundamentals or equivalent certification preferred., • Familiarity with data privacy, security, and compliance in AI development., • Exposure to prompt engineering and GenAI tools a plus., • Insurance domain exposure preferred. The salary range for this role is $69,100-$124,400. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: Senior AI Integration Developer to join our growing technology team. As a key member of our development team you will lead the evolution of our integration landscape by implementing Agentic AI frameworks and robust AI Observability standards to automate complex business workflows. • Agentic AI Orchestration: Design and develop autonomous AI agents using frameworks such as Microsoft AutoGen, Semantic Kernel, or LangGraph to automate insurance workflows., • AI Observability & Monitoring: Implement distributed tracing with OpenTelemetry and develop automated evaluation pipelines (e.g., "LLM-as-a-Judge") to monitor agent relevance and faithfulness., • Core Integration: Design, develop, and implement integration solutions using C# and .NET Framework/Core., • Serverless & Workflows: Create and maintain Azure Functions and Logic Apps for serverless computing and workflow automation., • API Governance: Configure and manage Azure API Management (APIM) for security and exposure of AI and traditional APIs to internal/external consumers., • Message-Based Systems: Implement integrations using Azure Service Bus., • Guardrail Implementation: Integrate real-time guardrails to detect and mitigate hallucinations, PII leakage, and prompt injections., • Provide technical guidance and mentorship to junior developers., • Bachelor's or master's degree in Computer Science, Information Systems, or a related field required., • 8+ years of experience in .NET, C#, Python, or a related domain required., • Cloud Expertise: Minimum of 3+ years of experience on Azure cloud services (Functions, Logic Apps, Service Bus)., • AI Specialization: 2+ years of experience in LLMOps or AIOps, focusing on the reliability and scalability of production-grade AI systems required., • 1+ years of experience in using framework like LangChain/LangGraph to automate Agentic workflows required., • Industry: Extensive experience within the insurance industry is strongly preferred., • Certifications: Microsoft Azure Developer Associate or Azure Solutions Architect certifications are a plus., • 8+ years of development-related experience with Visual Studio and .NET applications (.NET Framework or .NET Core) for on-premises, hybrid, or Azure production environments., • AI Frameworks: Deep understanding of Agentic AI architecture, Multi-Agent Systems (MAS), and RAG (Retrieval-Augmented Generation)., • Observability Tools: Hands-on experience with Langfuse, Arize Phoenix, or Weights & Biases for tracking agent lifecycles., • Development: 8+ years with Visual Studio and .NET applications., • API Design: Proficiency in REST APIs, Web APIs, and SOAP services., • DevOps: 3+ years using Azure DevOps or GitHub and familiarity with CI/CD pipelines., • Data Systems: Proficiency in SQL Server, Cosmos DB, and Azure Storage., • Modern Architecture: Knowledge of microservices, Docker, and Kubernetes., • Security: Understanding of security best practices for integration and AI safety, • Extensive experience with, • Azure Functions (development, deployment, and monitoring), • Logic Apps (designing workflows and implementing connectors), • Service Bus (implementing message queues, topics, and subscriptions), • Azure API Management (creating, securing, exposing, and managing APIs) The salary range for this role is $109,100-$207,300. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

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)., • 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 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Design and optimize SQL queries and database architectures to support application needs., • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Job Description Position Overview Harris Energy Solutions, LLC (HES) is a nationwide Energy Consulting Services firm. HES offers a full suite of consulting services, including Building Energy Modeling, Renewable Energy Consulting, Master Planning, Energy Audit, Building Commissioning, Measurement and Verification, and Building Retro-Commissioning. We pride ourselves on the work we perform and the services we provide. HES is hiring an Energy Engineer specializing in Energy Modeling to join our team. The Energy Engineer (Energy Modeling) will perform whole-building energy simulations to support design decisions, code compliance, certification programs, and decarbonization planning. This role focuses on accurate, well-documented building energy models that translate design intent into actionable energy and cost insights. Responsibilities • Perform Whole-Building Energy Modeling: Develop baseline and proposed energy models in eQUEST, OpenStudio/EnergyPlus, IES-VE, Trane TRACE 3D Plus, or Carrier HAP for new construction, major renovation, and retrofit projects., • Drawing and Specification Review: Review architectural, mechanical, electrical, plumbing, and envelope documents to identify model inputs, including geometry, constructions, occupancy, lighting, plug loads, HVAC systems, and operating schedules., • Code Compliance and Certification Modeling: Produce ASHRAE 90.1 Appendix G performance-path models, IECC compliance models, and certification submissions for LEED EAp2/EAc1, ENERGY STAR, Passive House, and similar programs., • Support Local Decarbonization Compliance: Develop models supporting compliance with local laws and stretch codes (e.g., NYC Local Law 97, Title 24, Boston BERDO, Washington Clean Buildings Act)., • Parametric and Design Optimization Studies: Run parametric analyses on envelope, HVAC systems, controls, and renewable energy options; quantify life-cycle cost and carbon impacts to support design decisions., • Calibrate Existing Building Models: Calibrate energy models against utility billing or interval data per ASHRAE Guideline 14 standards for retro-commissioning, deep retrofit, and ESPC projects., • Renewable Energy Modeling: Support photovoltaic, solar thermal, geothermal, and battery storage modeling using tools such as PVsyst, SAM, and integrated simulation tools., • Bachelor's in engineering (Mechanical, Architectural, Electrical, or Facilities) or Building Science, • 1-3 years of energy modeling experience, including at least one internship, co-op, or full-time role, • Hands-on experience with at least one of: eQUEST, OpenStudio/EnergyPlus, IES-VE, Trane TRACE 3D Plus, or Carrier HAP, • Working knowledge of ASHRAE 90.1 (especially Appendix G), ASHRAE 62.1, and applicable energy codes (IECC, Title 24, state stretch codes), • Understanding of HVAC system types, controls, building envelope, and renewable systems, • Familiarity with LEED energy modeling submission requirements preferred, • Strong Excel skills; experience with Python, Ruby, or scripting against modeling tools is a plus, • Experience with large commercial and multi-family buildings preferred but not necessary, • EIT, BEMP, CEM, or LEED AP BD+C credential preferred (or willingness to obtain), • Strong analytical, writing, and presentation skills, • Passionate about mitigating climate change, • Collaborative and a strong team player, • Self-motivated with the ability to multitask and pay attention to detail, • Ability to work independently and within a team environment Job Type: Full-time Pay: $70,000.00 - $82,000.00 per year Benefits • 401(k) (Traditional and Roth options), • 401(k) Safe Harbor, • Medical Insurance, • Dental Insurance, • Vision Insurance, • HSA option, • Paid Time Off, • Paid Holidays, • Profit Share Plan, • Company Covered Disability Insurance (LTD, STD), • Company Covered Life Insurance, • 8-hour shift EEO Statement: All qualified applicants will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, or sex.

Job Description Sunbird (), an established leader in Data Center Infrastructure Management, is looking for an Product Support Engineer to help us maintain our award winning web-based solutions. We develop in a collaborative environment where our workday involves Ruby, Java , Angular, PostgreSQL, Rocky Linux, GitHub, Jenkins, JIRA, and SCRUM. Essential duties and responsibilities • Trouble shoot field issues to reproduce and, when possible. identify the root cause, • Work with the rest of the team as needed to create scripts or procedures to correct problems in deployed systems, • Provide clear and timely communication to keep all relevant parties informed, • Document information and transfer knowledge so that fewer issues are escalated from TS to engineering, • BS/MS degree in Computer Science or a related subject or equivalent experience, • Good oral and written communication, and interpersonal skills, • Ability to adapt, multi-task, and manage changing priorities A candidate with any of the following will be at an advantage: • Knowledge of the data center domain and DCIM tools, • Working experience with Linux based environments (RHEL/Rocky preferred), • Java, ANSI SQL, and general programming skills, • Experienced in using PostgreSQL, Jira, or GitHub, • Experience with virtualization (e.g., VMware, Nutanix, docker), • We are all about delighting our clients and live/breathe the end client/user experience, • We believe in collaboration, teamwork, creativity and taking initiativeInterested? Read on for additional details about this opportunity to join our amazing team! Powered by JazzHR wsB1TcU0Gf

Job DescriptionAbout GenScriptGenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy.GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. Job Title: AI Researcher (AI-Oriented Knowledge Systems) Location: Piscataway, NJ The estimated salary range for this role is $85,000 - $145,000 depending on experience. Responsibilities Core Research Directions: Responsible for one or two of the following areas: Knowledge Extraction & Structuring • Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs), • Design automated pipelines for entity recognition, relation extraction, and event detection, • Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information, • Explore LLM-assisted knowledge extraction methods, balancing automation efficiency with manual validation costs, • Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge, • Research Knowledge Embedding techniques to achieve fusion of knowledge and vector spaces, • Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation, • Explore knowledge fusion and alignment techniques to resolve entity disambiguation and conflict resolution from multi-source knowledge, • Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality, • Research hybrid retrieval strategies combining vector search, keyword search, graph traversal, and other approaches, • Develop retrieval re-ranking algorithms to enhance Top-K result relevance, • Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations, • Research knowledge graph-based reasoning techniques supporting multi-hop reasoning, logical reasoning, and causal reasoning, • Develop Complex QA systems supporting multi-condition and multi-step question answering, • Explore fusion methods combining LLMs with symbolic reasoning, leveraging advantages of both neural and symbolic approaches, • Design interpretability frameworks for reasoning processes, supporting answer provenance and reasoning chain visualization, • Design knowledge timeliness management mechanisms supporting knowledge expiration detection and automatic updates, • Research knowledge conflict detection and resolution strategies for handling contradictory information fusion, • Develop knowledge base health monitoring systems tracking coverage, accuracy, freshness, and other metrics, • Explore human-feedback-driven knowledge iteration mechanisms Basic Qualifications • Master's degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields, • 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, RAG, or QA systems Programming & Engineering • Proficient in Python with expertise in data processing and large-scale text processing techniques, • Familiar with mainstream NLP frameworks (spaCy, NLTK, HuggingFace Transformers, etc.), • Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.), • Deep understanding of core NLP technologies: entity recognition, relation extraction, text classification, semantic similarity, • Familiar with the full lifecycle of knowledge graph construction and application, • Proficient in RAG technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation, • Prior experience in vertical domain knowledge system construction and knowledge-driven LLM application deployment (e.g., healthcare, legal, finance, technology) preferred, • Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.), • Experience in data governance such as data cleaning, deduplication, and standardization preferred, • Ability to conduct independent technical research, owning the full process from problem definition to solution deployment, • Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings, • Strong interest in the intersection of knowledge engineering and AI, keeping up with latest domain developments, • Excellent communication and collaboration skills, able to work efficiently with engineering and product teams, • Systems thinking ability to approach knowledge system design from an overall architecture perspective #LI-EB1 #GS GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./ProBio Inc. maintains a drug-free workplace. Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.

Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. You will leverage your expertise in statistics, mathem

Qualifications Candidate must have 8-10 years of experience working with Asset Management firms Candidate must have 3-5 years of experience working on investment performance calculation & reporting projects Candidate must have 3-5 years of experience with projects related to IBOR systems for Asset M

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node. Python, Rust, GoLang, Java, Node.

DataAnnotation is committed to creating high-quality AI. Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

Location : New Brunswick, NJ (Onsite) - Strictly Locals to NY and NJ states.Need Pharma/Health care domain experience mandatory.Must experienced in Regulatory requirements, such as GxP, FDA regulations, GDPR.Business Requirements Gathering.Collaborate with stakeholders to gather and document busines

Basic understanding of Databases and data flows.

The Project Administrator is responsible for managing the administrative tasks and logistical aspects of data center construction or expansion projects, including coordinating with various teams, tracking project progress, maintaining documentation, and ensuring smooth execution of project activitie

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistic

Location : New Brunswick, NJ (Onsite) - Strictly Locals to NY and NJ states.Need Pharma/Health care domain experience mandatory.Must experienced in Regulatory requirements, such as GxP, FDA regulations, GDPR.Business Requirements Gathering.Collaborate with stakeholders to gather and document busines

Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions. Azure Databricks, Azure data factory including developing and optimizing data pipelines using Apache Spark required. Collaborate with AI and data science teams to u

Project Administrator - Data Center Information Technology/Design/Engineer Firm. NJ Data Center growing Information Technology/Design/Engineer Firm is seeking a Project Administrator to join our team. The Project Administrator is responsible for managing the administrative tasks and logistical aspec

Lorven Technologies is seeking a Big Data Engineer to develop and maintain automated data pipelines, ensuring data accuracy and efficient processing. The candidate should have proven experience with Python and AWS services, strong problem-solving abilities, and excellent communication skills. Respon

Knowledge in Middle-office & Back-office functions like Post trade processes, Clearing & settlements, Data Management, Collateral Management, Security lending, Risk Management, Corporate action processing, Fund Accounting, Performance returns calculation & Attributions, Regulatory reporting. Possess

Estimated duration is 12+ months with possible extensions.Work setting is 100% on-site at the client's location.No telecommuting or remote work is allowed.This requirement is non-negotiable.Must work on-site in Warren, NJ at all times.Minimum 2+ years as a Business Analyst focused on billing.High sc

AI/ML or Data Science, 3+ years on Databricks. Data Engineering: Spark, Python, Delta Lake, REST APIs. Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi‑modal AI solutions on Databricks using GenAI and modern orchestration frameworks.

Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. The ideal candidate will have over 10 yea

Product Owner/Business Analyst - Canadian Brokerage Trading experience.This range is provided by Eliassen Group.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.These positions require bi-weekly hybrid with multiple locations as options--MA/RI/NH