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Nlp Semantic Search Jobs (NOW HIRING)

Required : • Strong hands on experience with Core ML & Stats (optimization, supervised unsupervised learning) • NLP (semantic search, embeddings, text modeling) • MLOps (MLflow, Kubeflow ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs ...

Retrieval-augmented generation and semantic search * Knowledge graph and GraphRAG-based approaches ... Applied NLP research and prototype development * Integration of NLP models into internal business ...

Agentic AI Technical Architect

Tulsa, OK · On-site

$57.50 - $69.25/hr

Design semantic search and NLP architectures supporting multilingual inputs and open-text queries. * Build agentic AI architectures with orchestration frameworks and human-in-the-loop oversight

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Nlp Semantic Search information

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How much do nlp semantic search jobs pay per year?

As of Sep 11, 2026, the average yearly pay for nlp semantic search in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is NLP semantic search?

NLP Semantic Search is a technology that uses Natural Language Processing (NLP) to understand the meaning and context of search queries and documents, rather than relying solely on exact keyword matches. This allows search systems to provide more relevant and accurate results by interpreting synonyms, related concepts, and user intent. NLP Semantic Search is commonly used in modern search engines, chatbots, and enterprise knowledge management systems to improve information retrieval and user experience.

What skills and qualifications are needed to thrive as an NLP semantic search engineer?

To thrive as an NLP Semantic Search Engineer, you need a solid background in computer science, natural language processing, and information retrieval, often supported by a degree in a related field. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with search platforms like Elasticsearch are typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help you design and refine semantic search solutions. These competencies are crucial for building accurate, efficient systems that deliver relevant search results and enhance user experience.

How does an NLP semantic search specialist typically collaborate with data engineers and product teams?

An NLP Semantic Search specialist regularly works with data engineers to ensure access to high-quality, well-structured data necessary for building and refining search models. Collaboration with product teams is also essential, as they help define user requirements and success metrics for semantic search features. This multidisciplinary teamwork helps align technical solutions with business objectives, often involving brainstorming sessions, iterative feedback on prototypes, and ongoing evaluation of search relevance and performance. Clear communication and adaptability are key for seamless integration across these roles.

What other helpful pages are available for Nlp Semantic Search?

Other pages related to Nlp Semantic Search:

Infographic showing various Nlp Semantic Search job openings in the United States as of September 2026, with employment types broken down into 1% Locum Tenens, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Machine Learning Engineer

Dayton, OH • On-site

ClifyX
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Re-posted 7 days ago


Job description

Job Summary:
ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning Engineer. The role involves designing advanced ML models, managing MLOps pipelines, and collaborating with teams to deliver production-ready AI solutions.
Responsibilities:
• Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning.
• Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD.
• Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.
Qualifications:
Required:
• Strong hands on experience with Core ML & Stats (optimization, supervised unsupervised learning)
• NLP (semantic search, embeddings, text modeling)
• MLOps (MLflow, Kubeflow, Airflow, Docker, CICD)
Preferred:
• Healthcare insurance Managed Care (MCO) experience familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus.
• Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998