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Nlm Jobs (NOW HIRING)

GDIT

IT Network Security Team Lead

Bethesda, MD · On-site

$164K - $195K/yr

No As an IT Network Security Team Lead, the work you'll do at GDIT will be impactful to the mission of The National Library of Medicine (NLM) . You will play a crucial role, serving as both a senior ...

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Nlm information

See salary details

$102.5K

$114.5K

$128K

How much do nlm jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nlm in the United States is $114,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What is the difference between Nlm vs Medical Laboratory Technician?

AspectNlmMedical Laboratory Technician
Required CredentialsTypically requires a degree in laboratory science or related field, certification may be preferredAssociate's degree in medical laboratory technology, certification often required
Work EnvironmentHospitals, clinics, diagnostic laboratoriesHospitals, diagnostic labs, research facilities
Industry UsageCommonly used in healthcare and diagnostic settingsPrimarily in healthcare labs, similar to Nlm
Job ResponsibilitiesPerforming lab tests, analyzing samples, recording resultsPreparing specimens, operating lab equipment, analyzing samples

Both Nlm and Medical Laboratory Technicians work in laboratory settings performing diagnostic tests. While their roles are similar, Nlm may be a specialized or regional term, whereas Medical Laboratory Technician is the standard industry title. They require comparable certifications and work in similar environments, making them closely related in the healthcare industry.

What does an NLM do?

Professionals at the National Library of Medicine (NLM) often engage in a variety of tasks, such as managing and curating biomedical data, supporting digital library initiatives, developing and maintaining databases like PubMed, or assisting with research and information dissemination. Depending on your role, you may collaborate closely with researchers, IT specialists, and librarians to facilitate access to medical information and resources. Daily work can include data analysis, software development, user support, and contributing to large-scale information management projects. This collaborative environment encourages continuous learning and offers opportunities for career advancement in both technical and research-oriented paths.

What is an NLM?

NLMs, or Natural Language Models, are advanced computational models designed to understand, interpret, and generate human language. They are a key part of natural language processing (NLP) and are used in applications such as chatbots, translation services, and search engines. NLMs leverage large datasets and deep learning techniques to process language, allowing for more accurate and context-aware interactions between humans and machines.

What are the key skills and qualifications needed to thrive as an NLM, and why are they important?

To thrive as a Network Lifecycle Manager, you need strong expertise in network infrastructure, project management, and lifecycle planning, often backed by a degree in information technology or a related field. Familiarity with network management tools, ITIL frameworks, and certifications like Cisco CCNA/CCNP or CompTIA Network+ is typically required. Excellent organizational, communication, and problem-solving skills help you manage cross-functional teams and address network challenges proactively. These skills and qualities are vital for ensuring network reliability, optimizing performance, and supporting business continuity.
More about Nlm jobs
What cities are hiring for Nlm jobs? Cities with the most Nlm job openings:
What states have the most Nlm jobs? States with the most job openings for Nlm jobs include:
What job categories do people searching Nlm jobs look for? The top searched job categories for Nlm jobs are:
Nlm jobs near you
Infographic showing various Nlm job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $114,504 per year, or $55 per hour.

Senior AI/ML Engineer - GenAI & Cloud Solutions

Futran Tech Solutions Pvt. Ltd.

Calabasas, CA • On-site

$58.25 - $75.25/hr

Full-time

Re-posted 25 days ago

Job description

Role: Senior AI/ML Engineer - GenAI & Cloud Solutions
Location: Woodland hills, CA (onsite Role )
Key Responsibilities
  • Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
  • Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
  • Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
  • Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
  • Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
  • Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
  • Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
  • Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
  • Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.

Required Skills & Expertise
  • Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
  • AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
  • GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
  • Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.
  • Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
  • Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
  • Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
  • Healthcare Domain: Experience working with regulated data environments and compliance frameworks.

Preferred Qualifications
Bachelors or master's in computer science, AI/ML, or related field.
Certifications in Azure Solutions Architect or AI Engineering.
Publications, patents, or contributions to open-source AI/ML projects.

Apply