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Pytorch Developer Jobs in Omaha, NE (NOW HIRING)

Proficiency in programming languages like Python and R. * Experience with BI tools such as Tableau ... Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ...

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data ... Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)

Showing results 21-23

Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

Infographic showing various Pytorch Developer job openings in Omaha, NE as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, and 15% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Assessment Integrator (SME)

Pae

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

*This position is contingent upon contract award*

Amentum is seeking an Assessment Integrator (SME) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will integrate planning, operational execution, and assessment processes to enable data-driven decision-making, campaign effectiveness evaluation, and return-on-investment visibility for information operations across global theaters.

As an Assessment Integrator (SME) you will have the opportunity to:

  • Serve as the lead Assessment Integrator supporting Combatant Command (CCMD) OIE plans and operations, synchronizing assessment activities with campaign objectives and operational design.
  • Integrate assessment into the Joint Planning Process (JP 5-0), ensuring alignment of Measures of Performance (MOPs) and Measures of Effectiveness (MOEs) with commander intent and desired outcomes.
  • Develop and implement campaign assessment frameworks that enable continuous evaluation of information operations, including PSYOP and other information force activities.
  • Synchronize data from multiple sources (operational reporting, intelligence, open-source, and research data) to produce integrated assessments.
  • Leverage enterprise systems (e.g., C2IE, Maven or equivalent) to capture, manage, and visualize assessment data across planning and execution cycles.
  • Provide timely, decision-quality assessments and briefings to senior military leadership to support battle rhythm events and operational decision-making.
  • Enable transparency in campaign effectiveness through quantified assessment outputs, including support to return-on-investment (ROI) analysis.
  • Collaborate across plans, operations, intelligence, and analytic teams to ensure unity of effort in assessment design and execution

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 linked to data analytics (e.g., math, physics, computer science) OR problem set analysis (e.g., international relations, political science, cultural anthropology, communication studies, etc.) and a minimum of 8 years' experience; minimum of 6 years with MS/MA; minimum of 3 years with PhD
  • Demonstrated experience supporting Combatant Command (CCMD) or Joint Staff operations
  • Demonstrated experience with the Joint Planning Process, developing and executing operational or campaign assessments (MOP/MOE frameworks)
  • Demonstrated experience supporting Operations in the Information Environment (OIE) or PSYOP assessments
  • Demonstrated experience applying social media-oriented data analytic tool kits towards the evaluations of problem sets in the information environment.
  • Familiarity with major cloud providers (AWS, Azure, or Google Cloud) is essential.
  • Proficiency in programming languages like Python and R.
  • Experience with BI tools such as Tableau or Power BI.
  • Experience with cloud-based data integration.
  • Experience with building briefs summarizing data and research findings in MS PowerPoint.

Preferred Qualifications:

  • Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or problem set analysis (e.g., international relations, political science, cultural anthropology, communication studies, etc.).
  • Experience implementing data standardization / ontology frameworks for operational assessment
  • Familiarity with automated or AI-enabled assessment tools or platforms
  • Experience supporting ROI analysis or resource-informed assessment within PPBE processes
  • Prior role as Assessment Integrator, IO Planner, or Operational Planner
  • Experience with libraries such as Pandas and NumPy for data manipulation and SciPy for scientific computing.
  • Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be beneficial depending on further responsibilities.
  • Familiarity with version control and DevOp tools such as Git.
  • Demonstrated experience applying data analytic tools towards addressing national security issues.
  • Familiarity with containerization (using Docker) and orchestration (Kubernetes) to support cross-domain and scalable solutions.
  • Joint intelligence or operational experience with U.S. Geographical Combatant Commands.
  • Prior experience working at a combatant command.
  • Experience with campaign / operational assessments.
  • OSINT experience for interpreting the relevance of online trends, themes, narratives, and adversary behaviors in the information environment.
  • Experience utilizing C2IE (Command and Control of the Information Environment) to record assessment-related data on operations in the information environment (OIE).
  • Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics.

Compensation Details:

$130,000 - 180,000

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.