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Freelance Machine Learning Quant Jobs in Arizona

... related quantitative fi eld, or a Bachelor's degree with 5+ years of equivalent professional ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

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Freelance Machine Learning Quant information

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

What are the most commonly searched types of Machine Learning Quant jobs in Arizona?

The most popular types of Machine Learning Quant jobs in Arizona are:

What are popular job titles related to Freelance Machine Learning Quant jobs in Arizona?

For Freelance Machine Learning Quant jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Freelance Machine Learning Quant jobs?

Cities in Arizona with the most Freelance Machine Learning Quant job openings:

Infographic showing various Freelance Machine Learning Quant job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Specialist, Electrical Engineer (Transformation)

Phoenix, AZ

Full-time

Re-posted 16 days ago


Job description

About Acron Aviation (Avionics – Surveillance):
Acron Aviation designs, engineers, and manufactures certified avionics systems that support safety-critical flight operations across commercial and military aviation. Within Avionics, the Surveillance product line develops and sustains systems that enable aircraft awareness, collision avoidance, and airspace interoperability. Our portfolio includes TCAS, Mode S transponders, ADS-B, and integrated surveillance solutions deployed across commercial, military, and rotorcraft platforms. This work is performed in highly regulated environments and demands deep expertise across systems, hardware, software, and RF throughout the full product lifecycle.

Position Summary
As a Specialist Electrical Engineer within our Surveillance product line, you will drive innovation in the development of TCAS and transponder radios, advancing the electrical engineering discipline through concept generation, design, analysis, qualification, and lifecycle management.

You will apply rigorous data-driven analysis and modern AI-assisted engineering tools to accelerate design exploration, optimize hardware performance, and strengthen verification of avionics hardware. This role works within multidisciplinary project teams including mechanical, electrical (digital and analog), RF, firmware, and software engineering to plan, design, prototype, document, and test avionics transponders, RF systems, and sensor-based products.

Design activities will support surveillance avionics solutions for Air Transport, General Aviation, helicopters, and emerging platforms including Urban Air Mobility (UAM) and eVTOL aircraft.
Key Responsibilities
  • Conceptualize, design, integrate, and qualify digital, analog, and power circuitry, with supplemental RF principles, for avionics applications
  • Design circuits utilizing microprocessors, memory devices, Ethernet, SPI, I2C, PCIe, and other avionics interfaces
  • Develop and review electrical schematics and support PCB layout activities
  • Support CAD layout reviews, preferably using Altium-based tools
  • Generate engineering documentation including HRDs, HDDs, and HCIAs
  • Provide technical inputs supporting certification documentation, including PHAC development
  • Perform electrical design activities ranging from individual circuit design through aircraft-level system architectures
  • Utilize electrical analysis tools for power distribution, stress analysis, and related simulations
  • Apply AI and machine-learning tools to accelerate circuit design, automate analysis, and improve design verification and defect detection
  • Evaluate and adopt emerging engineering tools, methods, and technologies that advance avionics hardware development
  • Conduct trade studies and quantitative engineering analysis to optimize performance, cost, reliability, and manufacturability
  • Support proposal efforts by estimating engineering tasks, identifying technical risks, and planning development activities
  • Collaborate effectively across multiple engineering disciplines and technical teams
  • Interface directly with customers to understand requirements and develop practical engineering solutions
  • Perform other duties as assigned
  • Travel up to 10%
Basic Qualifications:
  • Bachelor’s Degree in Electrical Engineering or Computer Engineering and a minimum of 5 years of relevant experience; or Graduate Degree and a minimum of 4 years of related experience
  • Minimum 2 years of experience with electrical hardware design; aerospace experience preferred
  • Hands-on experience designing and developing avionics products, RF systems, or sensor-based products
  • Demonstrated experience applying engineering analysis and modern software or AI-enabled tools to solve hardware design challenges
Preferred Qualifications:
  • Working knowledge of at least one programming language such as Python or C++
  • Experience developing integrated aerospace hardware and software products
  • Exposure to Model-Based Systems Engineering (MBSE)
  • Experience applying AI or machine learning tools to hardware design, analysis, test automation, or engineering productivity initiatives
  • Proficiency with data analysis and scripting tools, including Python, to automate workflows and support engineering decisions
  • Understanding of FPGA and firmware development requirements and their impact on hardware design
  • Experience with RTOS integration and associated hardware design considerations
  • Practical understanding of RF design principles, particularly within the L-band frequency range
  • Strong interpersonal skills with experience working within multidisciplinary engineering teams
  • Excellent written, verbal, and presentation communication skills
  • Knowledge of DO-160, DO-178, and DO-254
  • Experience with Design-to-Cost and Design-for-Manufacturability methodologies
  • Experience supporting production and test activities across geographically distributed teams
  • Demonstrated ability to manage multiple programs and responsibilities simultaneously
  • Ability to operate independently and determine appropriate paths forward with minimal oversight
  • Pilot License or Part 107 Certificate
Equal Opportunity Statement
Acron Aviation is proud to be an Affirmative Action and Equal Opportunity Employer. We are committed to treating all employees and applicants with respect and dignity and to maintaining a workplace free from unlawful discrimination. All applicants will be considered for employment regardless of race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding, or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or any other legally protected characteristic.

Additional Information:
Acron Aviation maintains a drug-free workplace and conducts pre-employment substance abuse testing and background checks, where allowed by law. Acron Aviation is an E-Verify employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.