OMG Technology

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced and strategic Product Owner to join our growing product team. In this role, you will serve as the critical bridge between business stakeholders and our engineering teams — translating vision into executable roadmaps and ensuring every sprint delivers meaningful value. Key Responsibilities - Own and prioritize the product backlog, ensuring user stories are clearly defined, estimated, and ready for development sprints. - Collaborate with stakeholders across business, design, and engineering to define product vision, goals, and success metrics. - Lead sprint planning, daily stand-ups, sprint reviews, and retrospectives as a key member of the Agile team. - Write clear, concise user stories and acceptance criteria that enable development teams to build the right solutions. - Serve as the primary point of contact for product questions, decisions, and trade-offs throughout the development lifecycle. - Communicate product progress, risks, and roadmap updates to executive leadership and key stakeholders. Qualifications - 8+ years of experience as a Product Owner, Business Analyst, or similar role in an Agile/Scrum environment. - Demonstrated ability to write well-structured user stories, define acceptance criteria, and manage a prioritized product backlog. - Strong communication and facilitation skills with the ability to align diverse stakeholders around a shared product vision. - Experience using product and project management tools such as Jira, Confluence, or equivalent platforms. - Proven track record of delivering software products on time, with measurable business impact. - Solid understanding of software development processes and the ability to collaborate effectively with engineering teams. Preferred Qualifications - Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or equivalent Agile certification. - Familiarity with UX/UI principles and experience collaborating closely with product design teams. - Experience working in scaled Agile frameworks (SAFe, LeSS) or with multiple cross-functional product teams. - Knowledge of API integrations, platform architecture, or technical concepts that facilitate development. Location Bridgewater, New Jersey (Remote) Department Staffing/Resourcing/Operations Employment Type Contractor Minimum Experience Mid-level

Hello, We are seeking a Developer who is an expert in CoStar - an application that manages real estate and leases. If you are interested, please apply or you may directly email your resume to srikala@omgtechnologies.com. - This role involves providing technical expertise to develop reports in a CoStar. - Key responsibilities include implementation of report suite, developing customized reports for specific business needs, updating reports as necessary to ensure accuracy. - Draft Standard Operating Procedures (SOPs) for new processes and report management. - Ability to troubleshoot and resolve technical issues related to CoStar - Create or setup new transaction types within the application. Skills: - Strong technical skills: Expert proficiency in CoStar reporting, development, application setup - IT knowledge: Experience in troubleshooting application issues - Analytical skills: Ability to create and manage reports to track transactions. - Documentation skills: Experience in drafting SOPs for new processes and report management. - Attention to detail: Ensuring accuracy in transaction setup and reporting. Location Raleigh, North Carolina (Remote) Department Staffing/Resourcing/Operations Employment Type Contractor

Clinical/Life Sciences Background (CTD) AI Lead (Remote – EST) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a Remote role, with a preference for candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones. Role Summary: You are the AI forward-deployed engineer for Clinical Trial Division (CTD) operations within Thermo Fisher's Pharma Services Group. You identify, validate, build, and ship AI capabilities that improve day-to-day clinical trial services workflows - then drive adoption so they become part of how teams operate. You deliver hands-on using AWS, Dataiku, Databricks, and OpenAI, and you drive ChatGPT adoption across CTD roles. You balance short-term value delivery with long-term infrastructure maturity. As enterprise data/AI foundations and patterns evolve (for example: MCP server patterns, A2A approaches, reusable agent frameworks, governance, scalable integrations), you create a vision and execution plan that bridges today's constraints to a scalable target state. Key Responsibilities: - Map CTD AI opportunities: Identify use cases across CTD workflows (knowledge retrieval, document acceleration, exception management support, operational insights, coordination/handoff support, client-response acceleration). - Build and ship: Deliver POCs/MVPs using AWS/Databricks/Dataiku/OpenAI, integrating with operational systems, data, and document repositories. - Roadmap and operating cadence: Own a roadmap and drive an execution cadence (demos, stakeholder reviews, adoption checkpoints, impact tracking). - Balance quick wins vs foundations: Deliver immediate workflow improvements while shaping requirements and reusable patterns that will scale as IT infrastructure matures (integration patterns, evaluation/monitoring, orchestration approaches, governance-aligned design). - Vision and transition plan: Define the CTD AI north star and a staged path from POCs to reusable capabilities to scaled delivery. - Adoption-first delivery: Convert solutions into practical assets - templates, prompt kits, role-based guides, and training - so adoption is built in. - Risk/controls awareness: Incorporate appropriate controls for privacy/security and traceability expectations where needed. - Stay current and apply responsibly: Keep up with the rapidly advancing AI landscape and selectively introduce relevant techniques/tooling that are safe, measurable, and adoptable in CTD operations. Required Skills/Qualifications: - Strong understanding of clinical trial services/operations (or adjacent clinical operations workflows) and the ability to translate CTD work into deployable AI solutions. - Primary Stack: AWS, Dataiku, Databricks, and OpenAI. - Hands-on capability building production-minded prototypes (Python/SQL, AWS, Databricks and/or Dataiku, and OpenAI). - Applied GenAI experience (RAG, evaluation, guardrails, workflow integration, adoption enablement). - Strong ChatGPT adoption embedded in CTD routines. - Strong stakeholder engagement skills and ability to influence as a senior IC. - Demonstrated ability to balance immediate business outcomes with long-term scalable capability building. - Experience working with privacy/security constraints and controlled documents in clinical contexts. - Experience supporting globally distributed operational teams. - A CTD AI opportunity map and roadmap adopted by CTD stakeholders. Other Job Details: - Job Type: C2C or W2. - Duration: 6 – 12 months with high possibility of extension. - Location: Remote (preferred candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones). - Pay Rate: $68/hr. on C2C. or $60/hr. on W2. - Interviews: Video interviews. - Docs required: ID proof will be required. Location REMOTE, New Jersey (Remote) Employment Type Contractor Minimum Experience Experienced

Supply Chain Functional AI Lead (Remote – EST) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a Remote role, with a preference for candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones. Role Summary: You are the AI forward-deployed engineer embedded with Supply Chain leadership - identifying, validating, building, and shipping AI capabilities that improve day-to-day operations. You translate operational problems into deployable solutions using our stack (AWS, Dataiku, Databricks, OpenAI) and partner closely with planners and supply chain leaders to drive measurable impact and ChatGPT adoption in daily workflows. A core requirement is balancing near-term value delivery with longer-term platform readiness. While the business pushes for quick wins, enterprise data and AI infrastructure will continue maturing in parallel (for example: reusable AI patterns, agent frameworks, MCP server patterns, A2A approaches, governance, and scalable integrations). You create a practical vision and execution path that connects quick wins to durable capabilities. Key Responsibilities: - Opportunity discovery & prioritization: Run process discovery with supply chain teams (planning, scheduling, inventory, procurement, logistics) to map and size AI opportunities; build a sequenced backlog tied to measurable outcomes. - Hands-on POCs to MVPs: Rapidly build POCs and evolve the best into MVPs using AWS + Databricks + Dataiku + OpenAI, integrating with enterprise data sources and real workflows. - Roadmap ownership: Produce and maintain a capability roadmap (90 days/6 months/12 months) with dependencies, data readiness needs, and adoption/change requirements. - Kinaxis-enabled use cases: Design solutions that complement and enhance Kinaxis workflows (exception management, scenario narratives, decision support, insight generation, planning explainability). - Balance quick wins vs foundations: Deliver short cycle wins that work today while shaping requirements for scalable infrastructure as IT builds out data/AI foundations (reusable components, standard integration patterns, agent orchestration approaches, monitoring/evaluation patterns). - Vision and transition plan: Define a north-star vision and pragmatic transition plan bridging today's constraints to the medium/long-term target state (platform, governance, integration patterns, reusable AI assets). - Production-minded engineering: Define architecture, evaluation metrics, guardrails, monitoring, and last-mile integration patterns; partner with platform/data teams while remaining personally hands-on. - Drive ChatGPT adoption: Build role-based prompt libraries, playbooks, templates, and enablement sessions; measure adoption and iterate based on usage and impact. - Stay current and apply responsibly: Maintain working knowledge of the rapidly evolving AI landscape (GenAI, agents, evaluation, toolchains) and translate relevant advances into practical solutions aligned to enterprise guardrails. Required Skills/Qualifications: - 8+ years of experience across supply chain analytics, digital transformation, and/or applied AI (or equivalent delivery depth). - Primary stack: AWS, Dataiku, Databricks, OpenAI, and Kinaxis in Supply Chain. - Strong hands-on build capability: Python/SQL, data modeling, rapid prototyping, and turning prototypes into usable tools. - Practical experience applying GenAI/LLMs (prompting, RAG, evaluation, guardrails, agentic workflows) to real business processes. - Experience with AWS, and at least one of Databricks or Dataiku used in delivery. - Kinaxis (RapidResponse) experience and/or supply planning integrations. - Experience with MLOps, model monitoring, and enterprise risk/controls for AI. - A clear, socialized AI opportunity map and prioritized backlog for Supply Chain. - ChatGPT adoption in supply chain routines. - Credible supply chain domain knowledge (planning, S&OP/IBP concepts, scheduling, inventory, procurement, logistics). - Proven ability to operate as a business-facing IC: ambiguity tolerance, strong writing, and demo-driven delivery. - Demonstrated ability to balance immediate impact with long-term scalability in environments where platform capabilities are evolving. - Familiarity with regulated operations and documentation controls. Other Job Details: - Job Type: C2C or W2. - Duration: 6 – 12 months with high possibility of extension. - Location: Remote (preferred candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones). - Pay Rate: $78/hr. on C2C. or $68/hr. on W2. - Interviews: Video interviews. - Docs required: ID proof will be required. Location REMOTE, New Jersey (Remote) Employment Type Contractor Minimum Experience Experienced

Drug Substance Division (DSD) AI Lead (Remote – EST) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a Remote role, with a preference for candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones. Role Summary: You are the AI forward-deployed engineer for Drug Substance Division (DSD) operations within Thermo Fisher's Pharma Services Group. Your mission is to identify where AI can materially improve day-to-day work, then build and ship solutions that teams actually use. You deliver hands-on with AWS, Databricks, Dataiku, and OpenAI, and you drive ChatGPT adoption across DSD workflows. You must hold two truths at once: the business needs near-term outcomes, while IT continues building medium/long-term data and AI foundations (for example: MCP server patterns, A2A approaches, reusable agent frameworks, governance and scalable integrations). You create a clear vision that connects immediate wins to scalable, supportable capabilities. Key Responsibilities: - Identify high-leverage DSD use cases: Target opportunities across DS operations (technical knowledge retrieval, investigation support, documentation acceleration, operational insights, exception triage, capacity/coordination decision support). - Build prototypes and deliver MVPs: Create working solutions using AWS/Databricks/Dataiku/OpenAI, integrating operational data and documents into usable workflows. - Data readiness and integration: Assess data availability/quality; define what's needed and influence how to get there (standard sources, access patterns, reusable pipelines). - Roadmap ownership: Produce a DSD capability roadmap with milestones, dependencies, and impact metrics. - Balance quick wins vs foundations: Deliver what helps DSD now while shaping patterns that will scale as the enterprise platform matures (reusable assets, integration standards, evaluation/monitoring, agent orchestration approaches). - Vision and transition plan: Define the DSD AI north star and a staged path from POCs to reusable capabilities to scaled delivery. - Drive ChatGPT adoption: Build prompt libraries, playbooks, and training tied to real DS work; measure usage and outcomes. - Stay current and apply responsibly: Keep pace with AI advances and translate them into practical, controlled, high-impact solutions suitable for DSD environments. Required Skills/Qualifications: - Domain fluency in drug substance operations and how DS work is executed (process understanding, technical documentation, investigations interfaces, performance drivers). - Primary Stack: AWS, Dataiku, Databricks, and OpenAI. - Strong hands-on delivery skills: Python/SQL plus AWS and Databricks and/or Dataiku experience; applied use of OpenAI. - Applied GenAI/LLM experience (RAG, evaluation, guardrails, workflow integration, adoption enablement). - Strong ChatGPT adoption in DSD workflows. - Ability to work independently, drive ambiguity to shipped outcomes, and communicate clearly to senior stakeholders. - Proven ability to balance immediate impact with long-term scalability while platform capabilities evolve. - Practical GxP awareness and experience operating with controlled documents/data access. - Experience working across distributed/global DS operations. Other Job Details: - Job Type: C2C or W2. - Duration: 6 – 12 months with high possibility of extension. - Location: Remote (preferred candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones). - Pay Rate: $70/hr. on C2C. or $62/hr. on W2. - Interviews: Video interviews. - Docs required: ID proof will be required. Location REMOTE, New Jersey (Remote) Employment Type Contractor Minimum Experience Experienced

AWS AI Platform Engineer (MCP Experience Required) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. Job Summary We are seeking a Senior AWS Platform Engineer / AWS AI Infrastructure Engineer to design, deploy, and support scalable, secure cloud platforms on AWS. The ideal candidate will have hands-on experience with AWS AI services (Bedrock, SageMaker), containerized deployments (ECS, EKS, Fargate), and AWS infrastructure management in production environments. This role will focus on hosting and managing MCP servers, enforcing security best practices, automating cloud operations, and supporting platform reliability. You will collaborate closely with application, DevOps, and engineering teams to ensure high availability, performance, and compliance across AWS environments. Key Responsibilities : - Design, host, manage, and support AWS-based AI and application infrastructure in production environments. - Architect and manage MCP Servers hosted on AWS, ensuring scalability, availability, and security. - Deploy and manage containerized workloads using Docker on ECS, EKS, and Fargate. - Support and administer core AWS infrastructure including EC2, networking, and security configurations. - Work with AWS AI services, including Amazon Bedrock and Amazon SageMaker, to support AI/ML workloads. - Manage and support AWS databases (both managed and self-hosted) for application and AI use cases. - Implement and maintain DevOps practices, CI/CD pipelines, and infrastructure automation in AWS. - Configure and manage API Gateway, including secure access, integrations, and authorization. - Ensure AWS environments follow best practices for security, IAM roles and policies, scalability, and reliability. - Monitor, troubleshoot, and resolve production issues across AWS platforms. - Provide AWS platform administration and ongoing support. - Document system architectures, deployment processes, runbooks, and operational procedures. Required Skills & Qualifications : - 5-7 years of hands-on AWS experience with medium-level depth across core services. - Strong familiarity with AWS AI Infrastructure, including Amazon Bedrock and SageMaker. - Proven experience designing and managing MCP Servers in AWS. - Hands-on experience with Docker-based deployments using ECS, EKS, and Fargate. - Solid experience with AWS EC2 configuration, hardening, and security. - Experience working with AWS databases (RDS, DynamoDB, Aurora, or hosted databases on EC2). - Strong understanding of AWS IAM, security protocols, roles, policies, and access controls. - Experience configuring and securing API Gateway access. - Hands-on experience with DevOps practices, automation, and CI/CD pipelines in AWS. - Experience providing AWS platform administration and production support. - Familiarity with monitoring, logging, and alerting using AWS-native tools. - Ability to work collaboratively with application, DevOps, and platform teams. Other Job Details: - Location: Remote - Duration: 12 months with high possibility of extension. - Pay Rate: $65 on W2 and $70 on C2C. - Docs required: ID proof will be required. Location New Jersey, New Jersey (Remote) Employment Type Contractor Minimum Experience Experienced

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior AWS Platform Engineer / AWS AI Infrastructure Engineer to design, deploy, and support scalable, secure cloud platforms on AWS. The ideal candidate will have hands-on experience with AWS AI services (Bedrock, SageMaker), containerized deployments (ECS, EKS, Fargate), and AWS infrastructure management in production environments. This role will focus on hosting and managing MCP servers, enforcing security best practices, automating cloud operations, and supporting platform reliability. You will collaborate closely with application, DevOps, and engineering teams to ensure high availability, performance, and compliance across AWS environments. - Design, host, manage, and support AWS-based AI and application infrastructure in production environments. - Architect and manage MCP Servers hosted on AWS, ensuring scalability, availability, and security. - Deploy and manage containerized workloads using Docker on ECS, EKS, and Fargate. - Support and administer core AWS infrastructure including EC2, networking, and security configurations. - Work with AWS AI services, including Amazon Bedrock and Amazon SageMaker, to support AI/ML workloads. - Manage and support AWS databases (both managed and self-hosted) for application and AI use cases. - Implement and maintain DevOps practices, CI/CD pipelines, and infrastructure automation in AWS. - Configure and manage API Gateway, including secure access, integrations, and authorization. - Ensure AWS environments follow best practices for security, IAM roles and policies, scalability, and reliability. - Monitor, troubleshoot, and resolve production issues across AWS platforms. - Provide AWS platform administration and ongoing support. - Document system architectures, deployment processes, runbooks, and operational procedures. Qualifications - 5-7 years of hands-on AWS experience with medium-level depth across core services. - Strong familiarity with AWS AI Infrastructure, including Amazon Bedrock and SageMaker. - Proven experience designing and managing MCP Servers in AWS. - Hands-on experience with Docker-based deployments using ECS, EKS, and Fargate. - Solid experience with AWS EC2 configuration, hardening, and security. - Experience working with AWS databases (RDS, DynamoDB, Aurora, or hosted databases on EC2). - Strong understanding of AWS IAM, security protocols, roles, policies, and access controls. - Experience configuring and securing API Gateway access. - Hands-on experience with DevOps practices, automation, and CI/CD pipelines in AWS. - Experience providing AWS platform administration and production support. - Familiarity with monitoring, logging, and alerting using AWS-native tools. - Ability to work collaboratively with application, DevOps, and platform teams. Requirements - Location: Remote - Duration: 12 months with high possibility of extension. - Pay Rate: $65 on W2 and $70 on C2C. - Docs required: ID proof will be required. - Location: New Jersey, New Jersey (Remote) - Employment Type: Contractor - Minimum Experience: Experienced

Supply Chain Functional AI Lead (Remote – EST) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a Remote role, with a preference for candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones. Role Summary: You are the AI forward-deployed engineer embedded with Supply Chain leadership - identifying, validating, building, and shipping AI capabilities that improve day-to-day operations. You translate operational problems into deployable solutions using our stack (AWS, Dataiku, Databricks, OpenAI) and partner closely with planners and supply chain leaders to drive measurable impact and ChatGPT adoption in daily workflows. A core requirement is balancing near-term value delivery with longer-term platform readiness. While the business pushes for quick wins, enterprise data and AI infrastructure will continue maturing in parallel (for example: reusable AI patterns, agent frameworks, MCP server patterns, A2A approaches, governance, and scalable integrations). You create a practical vision and execution path that connects quick wins to durable capabilities. Key Responsibilities: - Opportunity discovery & prioritization: Run process discovery with supply chain teams (planning, scheduling, inventory, procurement, logistics) to map and size AI opportunities; build a sequenced backlog tied to measurable outcomes. - Hands-on POCs to MVPs: Rapidly build POCs and evolve the best into MVPs using AWS + Databricks + Dataiku + OpenAI, integrating with enterprise data sources and real workflows. - Roadmap ownership: Produce and maintain a capability roadmap (90 days/6 months/12 months) with dependencies, data readiness needs, and adoption/change requirements. - Kinaxis-enabled use cases: Design solutions that complement and enhance Kinaxis workflows (exception management, scenario narratives, decision support, insight generation, planning explainability). - Balance quick wins vs foundations: Deliver short cycle wins that work today while shaping requirements for scalable infrastructure as IT builds out data/AI foundations (reusable components, standard integration patterns, agent orchestration approaches, monitoring/evaluation patterns). - Vision and transition plan: Define a north-star vision and pragmatic transition plan bridging today's constraints to the medium/long-term target state (platform, governance, integration patterns, reusable AI assets). - Production-minded engineering: Define architecture, evaluation metrics, guardrails, monitoring, and last-mile integration patterns; partner with platform/data teams while remaining personally hands-on. - Drive ChatGPT adoption: Build role-based prompt libraries, playbooks, templates, and enablement sessions; measure adoption and iterate based on usage and impact. - Stay current and apply responsibly: Maintain working knowledge of the rapidly evolving AI landscape (GenAI, agents, evaluation, toolchains) and translate relevant advances into practical solutions aligned to enterprise guardrails. Required Skills/Qualifications: - 8+ years of experience across supply chain analytics, digital transformation, and/or applied AI (or equivalent delivery depth). - Primary stack: AWS, Dataiku, Databricks, OpenAI, and Kinaxis in Supply Chain. - Strong hands-on build capability: Python/SQL, data modeling, rapid prototyping, and turning prototypes into usable tools. - Practical experience applying GenAI/LLMs (prompting, RAG, evaluation, guardrails, agentic workflows) to real business processes. - Experience with AWS, and at least one of Databricks or Dataiku used in delivery. - Kinaxis (RapidResponse) experience and/or supply planning integrations. - Experience with MLOps, model monitoring, and enterprise risk/controls for AI. - A clear, socialized AI opportunity map and prioritized backlog for Supply Chain. - ChatGPT adoption in supply chain routines. - Credible supply chain domain knowledge (planning, S&OP/IBP concepts, scheduling, inventory, procurement, logistics). - Proven ability to operate as a business-facing IC: ambiguity tolerance, strong writing, and demo-driven delivery. - Demonstrated ability to balance immediate impact with long-term scalability in environments where platform capabilities are evolving. - Familiarity with regulated operations and documentation controls. Other Job Details: - Job Type: C2C or W2. - Duration: 6 – 12 months with high possibility of extension. - Location: Remote (preferred candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones). - Pay Rate: $78/hr. on C2C. or $68/hr. on W2. - Interviews: Video interviews. - Docs required: ID proof will be required. Location REMOTE, New Jersey (Remote) Employment Type Contractor Minimum Experience Experienced