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Senior Natural Language Processing Engineer Jobs in Indiana

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network ...

ORA_ON_SITE Description SAIC is seeking an Electronic Warfare Systems Engineer Senior to support ... Develop signal processing algorithms, waveforms, and mission-load content for communications ...

New

ORA_ON_SITE Description SAIC is seeking an Electronic Warfare Systems Engineer Senior to support ... Develop signal processing algorithms, waveforms, and mission-load content for communications ...

New

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

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Senior Natural Language Processing Engineer information

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What job categories do people searching Senior Natural Language Processing Engineer jobs in Indiana look for? The top searched job categories for Senior Natural Language Processing Engineer jobs in Indiana are:
What cities in Indiana are hiring for Senior Natural Language Processing Engineer jobs? Cities in Indiana with the most Senior Natural Language Processing Engineer job openings:
Infographic showing various Senior Natural Language Processing Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

AI Modeling Specialist (Senior)

Pae

On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

*This position is contingent upon contract award*

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations.

As an AI Modeling Specialist (Senior) you will have the opportunity to:

  • Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
  • Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
  • Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
  • Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
  • Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
  • Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
  • Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
  • Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
  • Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
  • Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Required Qualifications:

  • Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance.
  • Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies)
  • Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments
  • Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets
  • Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent)
  • Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models
  • Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets
  • Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers
  • Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments

Preferred Qualifications:

  • Advanced degree (MS or PhD) in AI, machine learning, data science, or related field
  • Experience developing AI-enabled automation frameworks or platforms supporting mission workflows
  • Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts
  • Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics
  • Experience supporting cross-CCMD or distributed data environments at scale
  • Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms)
  • Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics
  • Experience working in joint, interagency, or coalition operational environments
  • Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas

Compensation Details:

$120,000 - 170,000

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

06/26/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.