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Ml Inference Jobs in Fort Wayne, IN (NOW HIRING)

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Ml Inference information

See Fort Wayne, IN salary details

$37K

$121.1K

$193.9K

How much do ml inference jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ml inference in Fort Wayne, IN is $121,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

Is ML inference a high paying job?

ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.
What are popular job titles related to Ml Inference jobs in Fort Wayne, IN? For Ml Inference jobs in Fort Wayne, IN, the most frequently searched job titles are:
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Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Fort Wayne, IN as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,100 per year, or $58.2 per hour.

Senior Principal Systems Lead Engineer

General Dynamics Mission Systems, Inc

Fort Wayne, IN • On-site, Remote

$174K - $183K/yr

Full-time

Posted 24 days ago

General Dynamics Mission Systems rating

7.9

Company rating: 7.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

127th of 242 rated software companies

Job description

Basic Qualifications
Education Requirements:
Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 10 years of relevant experience; or Master's degree, plus a minimum of 8 years of relevant experience.
Clearance Requirements:
Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
Required Qualifications
  • Bachelor's in a STEM field and 10+ years of systems engineering experience; or Master's + 8 years.
  • Demonstrated systems engineering leadership on complex, multi-disciplinary defense programs-requirements decomposition, system architecture, interface definition, and driving delivery from design through field demonstration.
  • System-of-Systems integration experience spanning autonomy, RF communications, unmanned vehicles, munitions, sensors, and C2 software.
  • Hands-on prototype development leadership-managing build schedules and driving teams through iterative build-test-learn cycles.
  • Hardware/software integration experience including board-level integration, embedded software deployment, and firmware/software version management.
  • Proficiency with MBSE tools (SysML, Cameo/MagicDraw, or equivalent) for requirements capture, architecture modeling, and ICD generation.
  • Experience authoring ICDs, SSS, System Development Plans, CONOPS documentation, and CDRLs for DoD programs.
  • Ability to lead cross-functional, multi-vendor engineering teams with strong written and verbal communication skills.
  • Active DoD Secret security clearance; U.S. citizenship required.
  • Willingness to travel up to 25% (event-driven: demonstrations, customer reviews, integration events) is REQUIRED

Preferred Qualifications
  • Prior experience on munitions, counter-obstacle, or related DoD programs.
  • Autonomous systems experience-UGVs, navigation, perception, and human-machine teaming.
  • RF communications systems experience-SDR, mesh networking, anti-jam, and BLOS integration.
  • Familiarity with AI/ML inference on embedded edge platforms (NVIDIA Jetson/CUDA/TensorRT).
  • Munitions and fuzing systems knowledge-warhead integration, safe-and-arm devices, fire control, and fuze safety (MIL-STD-1316).
  • Experience with MIL-STD-810, MIL-STD-461, MIL-STD-882E, and related military standards.
  • Embedded Linux, Jetson/GPU platforms, and real-time embedded software experience.
  • Familiarity with TAK ecosystem, Cursor on Target (CoT) protocols, and battle management system integration.
  • Cybersecurity compliance experience-RMF, NIST SP 800-53, DISA STIGs.
  • Reliability & Maintainability engineering-R&M predictions, FRACAS, FMEA/FMECA.
  • Human-Centered Design (HCD) experience-wireframing, user interface design, operator interaction analysis.
  • Use of Artificial Intelligence (AI) tools in the creation of systems engineering artifacts.

Tools & Environment
  • Cameo/MagicDraw (MBSE), Confluence, Jira, Python, MATLAB/Simulink, Git, Creo/SolidWorks (CAD review), AWS, WinTAK/GeoSuite, lab instrumentation (oscilloscopes, spectrum analyzers, logic analyzers).

Key Responsibilities
  • Technical Leadership: Lead a multi-discipline engineering team through technical, program, and customer meetings. Guide junior engineers, drive integration and test execution, coordinate with subcontractor teams, and remove blockers to maintain schedule momentum.
  • Systems Engineering Lifecycle: Own requirements analysis, system architecture, interface definition, CDRL development, prototype build, integration execution, and customer deliverables across a System-of-Systems encompassing autonomous vehicles, munitions, RF communications, and C2 software.
  • Requirements Management: Decompose, trace, and validate system requirements. Manage customer and derived requirements across all subsystems with bidirectional traceability from requirements through design and verification evidence.
  • System Architecture & MBSE: Develop and maintain a model-based system architecture covering functional, logical, and physical decomposition. Define system interfaces and ensure traceability from requirements through design solutions.
  • Prototype Development: Lead design, fabrication, and iterative build of system and subsystem prototypes. Coordinate hardware procurement, manage lab standup, and drive build-test-learn cycles to rapidly mature system capabilities.
  • Hardware/Software Integration: Oversee HW/SW implementation across all subsystems. Review and approve design decisions, manage firmware/software version baselines, and resolve interface issues during integration.
  • ICD & Technical Documentation: Lead Interface Control Document development for all internal and external interfaces. Author System Development Plans, System/Subsystem Specifications, and Monthly Technical Reports meeting DI-series data item descriptions.
  • Safety & Cybersecurity: Support system safety analysis (FHA, hazard identification, risk assessment) per MIL-STD-882E and review board activities. Contribute to RMF cybersecurity compliance and System Security Plan development.
  • Integration & Test: Drive test case development, procedure reviews, and hands-on integration activities. Lead Problem Review Boards, resolve test discrepancies, and drive knowledge point demonstrations and customer acceptance testing.

Workplace Options:
This position is fully onsite, remote or Hybrid/Flex based on candidate qualifications.
While on-site, you will be a part of the Ft Wayne, Indiana team.
#LI-JH1
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $174,203.00 - USD $183,730.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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