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Ai Machine Learning Data Engineer

Dallas,TX

1283 Ai Machine Learning Data Engineer jobs in Dallas,TX

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Director, AI Engineer

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
  • Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
  • Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
  • Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
  • Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
  • Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
  • Travel as needed
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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Machine Operator 1st Shift

Martin Sprocket & Gear

Fort Worth, TX 76137

~ 44 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Machine Operator
  • Follow production instructions
  • Install machine fixtures
  • Operate machinery
  • Inspect operations
  • Adhere to cleanliness and safety protocols
  • Perform other duties
  • Math skills: Requires average math skills, with the ability to read and comprehend instructions written in English and complete simple logs and reports in English.
  • Physical capability: Must be physically able to handle heavy items, including lifting, pushing, pulling, and positioning components.
  • Policy/procedure compliance: Must be able to work scheduled hours and comply with the company's timekeeping policy and all other company policies.
  • Stamina: Must be able to consistently stand for an entire shift in a non-climate-controlled shop environment.
  • Machining knowledge: Ability to learn fundamental machining concepts and demonstrate proficiency in using measuring devices.
  • Collaboration: Work closely with other team members, including supervisors, to optimize production processes and implement improvements.
  • Accuracy: Attention to detail is essential for maintaining quality standards.
  • Reliability: Demonstrates a strong commitment to dependability and consistent performance.
  • Adaptable precision: Detail-oriented with the flexibility to respond effectively to shifting production demands.
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Manager, AI Engineer

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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Machinist I (1st Shift)

Curbell

Arlington, TX 76010

~ 36 min Onsite

  • Set up and operate machine tools as required to meet drawing specifications for tools and fixtures. This includes G-Code/MDI and/or the independent creation of CAD/CAM programs for CNC programming of machine tools.
  • 1st shift
  • Monday to Friday
  • Pay range from $21.00-26.00
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
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Metal Field Services Technician

GoEngineer

Dallas, TX 75201

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Experience with metal additive manufacturing required.
  • Experience with laser powder bed fusion technology strongly preferred.
  • Field service, industrial equipment maintenance, or OEM experience preferred.
  • Knowledge of industrial lasers, motion systems, and electro-mechanical equipment.
  • Strong troubleshooting and problem-solving abilities.
  • Ability to read technical documentation, schematics, and engineering instructions.
  • Strong communication and customer service skills.
  • Ability to work independently and manage a travel-intensive schedule.
  • Valid driver's license and passport.
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Machinist I (2nd Shift)

Curbell

Arlington, TX 76010

~ 36 min Onsite

  • This position is responsible for setting up and operating Manual machines, CNC machining centers, and other value-added equipment, loading and creating programs through data transfer and MDI programming
  • Set up and operate machine tools as required to meet drawing specifications for tools and fixtures
  • G-Code/MDI and/or the independent creation of CAD/CAM programs for CNC programming of machine tools
  • Interpret complex blueprints and producing quality parts according to specifications and time restraints
  • Requires considerable autonomy with little to no supervision to perform duties of the job
  • Assist Leads, programmers, and supervisor on setups and execution of projects
  • Utilize experience and expertise in machining to assist programming team by developing labor assisting tools and fixtures
  • Incorporate lean practices to eliminate waste, create better flow, reduce bottle necks, and achieve SMED
  • Identifies and removes inefficiencies from programs through awareness and process engagement
  • Assist in the daily preventative maintenance programs for all machine tools under your control
  • Repair minor damage to machinery and tooling
  • Train machine operators in the proper setup and operation of machine tools
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
SmartExplore AI is experimental.
View now
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Machinist - 3rd shift - (Fri-Sun- 5am-5pm)

Klein Tools

Mansfield, TX 76063

~ 38 min OnsiteHealth InsuranceRetirement Benefit

  • One (1) year of related experience is required
  • High School diploma or equivalent preferred
  • Must be able to read, write, speak, and understand basic English
  • Ability to demonstrate basic math and computer skills and perform visual quality inspections
  • Ability to learn, problem-solve, and make decisions per work instructions and documents
  • Ability to communicate and work as a team member
  • Ability to work overtime as needed by the company is required
  • Read work orders and blueprints to identify appropriate specifications for machine setup and product quality
  • Must be able to operate CNC milling/grinding, induction, assembly, or other various types of semi-automated equipment or manually adjust final product
  • Must be able to perform routine machine set-ups, changeovers, and adjustments on equipment to meet specifications
  • Inspect product for quality throughout production run using measuring tools such as micrometers, calipers, gauges, indicators, and visual inspection
SmartExplore AI is experimental.
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North Texas: Manufacturing Engineering Intern

Texas Instruments

Dallas, TX 75243

  • Pursuing a Bachelors degree in Electrical Engineering, Electrical& Computer Engineering, Chemical Engineering, Mechanical Engineering, Materials Science, Physics, Microelectronics or MET
  • Cumulative 3.0/4.0 GPA or higher
SmartExplore AI is experimental.
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