11,892 Ibm jobs in the United States

Must Have Technical/Functional Skills MUST HAVE? 4+ Strong Experience in IBM DataStage ? Technically strong in ETL process, SQL queries? Experience in Data modelling, Metadata Driven ETL Framework Model? Expertise in Data Integration and Ingestion? Strong experience in Oracle, SQL Server or any other RDBMS? Experience in Unix scripting? CI/CD pipeline setup, managing deployments ? Good Experience in various debugging tools especially Instrument tools? Good Knowledge on Unit Testing and testing practicesRoles & ResponsibilitiesExpected to participate in design of technical components of the application alongside our developersAlso responsible for leading the offshore resources to help dispatch work, and field questions/concerns from the team. Expected to participate in the development work/build ? Very good communication skills? Problem-solving attitude? Ability to establish priorities ? Unit, Integration and User Acceptance Testing? Collaborate with the customer Business Analysts & SMEs to perform detailed requirements analysis ? Responsible for Components Design, Construction & Unit Testing of assigned components/modules ? Perform technical review and resolve any technical challenges? Coordinate with customer stakeholders and bridge the offshore communication? Understanding of agile /waterfall development methodologies and test driven development practices? Responsible for overall deliverables and highlight if any riskThe role requires an individual who is results-focused, proactive, highly collaborative, confident under pressure, and has demonstrated skill in both solution evangelism and expectation management. Strong leadership skills, excellent communication, time-management; planning, negotiation skills and presentation skills are highly desirable.Generic Managerial Skills, If any Key Words to search in ResumeDataStage, Client Unix/Linux, Unix Scripting, SQL, Oracle/Sql Server Pre-Screening Questionnaire

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Must Have Technical/Functional Skills MUST HAVE? 4+ Strong Experience in IBM DataStage ? Technically strong in ETL process, SQL queries? Experience in Data modelling, Metadata Driven ETL Framework Model? Expertise in Data Integration and Ingestion? Strong experience in Oracle, SQL Server or any other RDBMS? Experience in Unix scripting? CI/CD pipeline setup, managing deployments ? Good Experience in various debugging tools especially Instrument tools? Good Knowledge on Unit Testing and testing practicesRoles & ResponsibilitiesExpected to participate in design of technical components of the application alongside our developersAlso responsible for leading the offshore resources to help dispatch work, and field questions/concerns from the team. Expected to participate in the development work/build ? Very good communication skills? Problem-solving attitude? Ability to establish priorities ? Unit, Integration and User Acceptance Testing? Collaborate with the customer Business Analysts & SMEs to perform detailed requirements analysis ? Responsible for Components Design, Construction & Unit Testing of assigned components/modules ? Perform technical review and resolve any technical challenges? Coordinate with customer stakeholders and bridge the offshore communication? Understanding of agile /waterfall development methodologies and test driven development practices? Responsible for overall deliverables and highlight if any riskThe role requires an individual who is results-focused, proactive, highly collaborative, confident under pressure, and has demonstrated skill in both solution evangelism and expectation management. Strong leadership skills, excellent communication, time-management; planning, negotiation skills and presentation skills are highly desirable.Generic Managerial Skills, If any Key Words to search in ResumeDataStage, Client Unix/Linux, Unix Scripting, SQL, Oracle/Sql Server Pre-Screening Questionnaire

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

• Python Web Frameworks, Core .NET Technologies
• 8-10 Years' experience

• IBM BPM
• Business Process Management(BPM)

• Should have 8 to 10 + years of Total Experience with minimum 5 years of EDI integration on IBM Sterling Integrator.

• Good hands-on experience in architecting, high-level and low level IBM Sterling Integrator (6.1.0 or higher) platform designing, implementing solutions.

• Design, develop, and maintain integration solutions using IBM Sterling Integrator.

• Proven experience in Partner Onboarding, Map development and Integration with Trading Partner

• Proven experience in EDI migration to design and execute functions of EDI migration.

• Proficiency in EDI transaction set (X12, EDIFACT) and ERP (SAP-IDOC) format.

• Work with stakeholders to gather and implementation for EDI integrations.

• Develop and maintain clear documentation for EDI processes, configurations, and mappings.

• Manage, monitor, and troubleshoot EDI workflow.

• Proficiency in understanding map document, Message implementation guide to implement Map and integration testing with Trading partner.

• Participate in engagements to define and deliver integration solutions with IBM Sterling Integrator Platform

• Participate in medium to large size projects which may require new or enhanced IT applications or integrations.

• Prefer knowledge and experience in Migration from IBM Sterling Integrator 5.x to 6.x

• Effectively participate in an integration team of diverse individuals who are geographically dispersed through all project lifecycles.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.