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Contract Audio Machine Learning Jobs in Connecticut

Contract * ideate/originate AI Use Cases within the organization. * Act as a strategic consultant ... Proven expertise in deploying machine learning models and AI applications in a cloud environment ...

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Monday-Friday schedule with potential overtime available * Long-term contract with permanent hire ... You like learning new skills and operating equipment. * You're looking for more than just your next ...

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... and Machine Learning teams. This is a hands-on technical leadership role combining software ... contracts. * Lead onboarding of new partners and manage changes to existing integrations while ...

Operates most common machine tools such as vertical millers, CNC lathes, and manual lathes.4The ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Machinist level 1

Danbury, CT · On-site

$39K - $68K/yr

Operates most common machine tools such as vertical millers, CNC lathes, and manual lathes.4The ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Machinist level 1

Danbury, CT · On-site

$39K - $68K/yr

Operates most common machine tools such as vertical millers, CNC lathes, and manual lathes.4The ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Showing results 21-40

Contract Audio Machine Learning information

What is the difference between Contract Audio Machine Learning vs Contract Data Scientist?

AspectContract Audio Machine LearningContract Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentFocus on audio data, signal processing, and machine learning modelsBroader data analysis, statistical modeling, and data visualization
Industry UsageMedia, entertainment, speech recognition, audio analysisFinance, healthcare, marketing, and various industries requiring data insights

Contract Audio Machine Learning specialists focus on developing models specifically for audio data, while Contract Data Scientists handle a wider range of data types and analysis tasks. Both roles require strong technical skills, but their focus areas and industry applications differ.

What are the most commonly searched types of Audio Machine Learning jobs in Connecticut?

The most popular types of Audio Machine Learning jobs in Connecticut are:

What are popular job titles related to Contract Audio Machine Learning jobs in Connecticut?

For Contract Audio Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Contract Audio Machine Learning jobs?

Cities in Connecticut with the most Contract Audio Machine Learning job openings:

Infographic showing various Contract Audio Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI/ML Software Engineer P2 (Onsite)

Raytheon Technologies

East Hartford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Date Posted:
2026-07-20
Country:
United States of America
Location:
US-CT-EAST HARTFORD-OBG ~ 400 Main St ~ BLDG OBG
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
What Will You Do
  • Work with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization.
  • Communicate technical solutions and insights to internal/external customers and organization leadership.
  • Design, build, test, deploy, and monitor machine learning models for physics-based simulations, fleet analytics, and component design.
  • Collaborate across RTX AI/ML teams to strengthen the corporate level AI/ML initiatives and infrastructure.

Qualifications You Must Have
  • Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM).
  • 2+ years of engineering experience or an advanced degree with 1+ years of experience.

Qualifications We Prefer
  • Familiarity with high-performance distributed computing.
  • Knowledge of state-of-the-art architecture, machine learning techniques, and algorithms with experience developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).
  • Experience with solving and using machine learning for real world problems involving scientific & engineering simulations (e.g., structural, CFD, thermal).
  • Strong Python programming skills and SQL proficiency

What We Offer:
  • Benefits
  • Relocation Assistance

Learn More & Apply Now!
Hot Section Engineering (HSE)
Hot Section Engineering is responsible for the design, development, technology maturation and in service support of all diffuser cases, combustors, turbines (vanes, blades, rotors and cases), augmenters (military), nozzles and associated fuel systems for all military, commercial and industrial engine models and radial auxiliary power units.
Technical disciplines in HSE include Project Engineering, Mechanical Design, Structural Analysis, Durability and Product Definition.
What is my role type?
In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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