478 Manual Testing jobs in Carrollton,GA

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Assembler I

Oshkosh Corporation

Hiram, GA 30141

~ 48 min Onsite

6+ months of experience in the manufacturing or general labor industry.
Ability and willingness to work overtime as needed, including evenings, weekends, and holidays, to meet business and production demands.
Maintain regular and reliable attendance, in-person and on-site.

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Machinist 3rd shift

Chromalloy Gas Turbine LLC

Newnan, GA 30265

~ 42 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High school diploma or equivalent is required
A trade school certificate or specialized education in machining is preferred
Experience with equipment such as CNC 3-axis, 5-axis, machining, grinding, milling, surface grinding, creep feed grinding
Proficiency in reading and interpreting blueprints, technical documents, and work instructions
Intermediate mathematical skills for measurement, testing, and problem-solving
Solid critical thinking skills with the ability to troubleshoot and resolve manufacturing issues
Ability to work effectively both independently with minimal supervision and collaboratively within a team
Excellent attention to detail, ensuring work is consistently precise
Basic computer skills, including experience with Microsoft Outlook
Strong verbal and written communication skills in English
Certifications: Relevant machining certifications are required as specified by equipment manufacturers
If this position requires access to export-controlled technology and technical data, ... offer of employment is contingent upon Chromalloy's determination ... authorization for the employee to access such technology is required
Chromalloy participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Any offer of employment will also be conditioned upon the successful completion of a background investigation and drug screen in accordance with company policy and applicable federal and state regulations
If this position requires access to export-controlled technology and technical data, ... authorization for the employee to access such technology is required

SmartExplore AI is experimental.

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Wiring Technician

The Blue Collar Recruiter of Marietta

Carrollton, GA 30112

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From Hobby to Income: Turn Gaming into a Paying Side Hustle

Free Cash

Dallas, GA 30157

New, Posted 5 hours ago

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Cook

U.S. Navy

Carrollton, GA 30117

New, Posted 6 hours ago

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Environmental Technician (Landfill Gas)

Hogansville, GA 30230

~ 45 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Valid and unrestricted driver's license
As part of the ongoing employment requirements, the successful candidate may be subject to drug and alcohol testing—including pre‑employment screening, post‑incident evaluations, reasonable suspicion checks, and random testing—in accordance with government regulations and company policies.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Commercial Electricians

Capstone Resource Management

Douglasville, GA 30135

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Regional CDL-A Truck Driver Job (Earn Top Pay / Consistent Miles)

US Xpress

Acworth, GA 30101

$225,000/yr

$5,000 bonus

~ 1 hr 12 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Must have Class A License (CDL A)
Must be 21 years or older
3 months of verifiable experience
DOT physical
Drug test
No drug related conviction within the past 5 years, or 10 years if the offense occurred while holding a CDL
No positive/refused tests in the past 10 years with CDL-A/CLP
No DUI/DWI within the past 5 years, or 10 years if the offense occurred while holding a CDL
No major CMV preventable accidents in the last 5 years
No more than 1 CMV on-road preventable accident in the last 2 years
No more than 2 moving violations in the last 2 years
SAP drivers are not eligible for hire

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Machine Learning Lead Engineer

Cox Automotive

Fairburn, GA 30213

~ 50 min OnsitePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
Deep expertise in multiple ML domains and familiarity with emerging research areas
Strong experience in technology evaluation, competitive analysis, and strategic planning
Comfortability with non-deterministic systems
Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
Experience in Rally, Jira or similar tools
Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
Proven track record of leading innovative projects from concept to proof-of-concept
Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
Experience building and leading high-performing research or innovation teams
Excellent communication skills for technical and executive audiences
Strong network within the ML research community
Experience with research collaboration and partnership development
Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
Commitment to continuous learning in AI-augmented data science and responsible AI use.