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Generative Ai Python

Dallas,TX

1917 Generative Ai Python 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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Intern Data Scientist 2027 - AI & Data Analytics

IBM

Dallas, TX 75219

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Director, AI, Data & Google Cloud

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • A minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership roles in consulting or technology organizations.
  • Google Cloud certifications (e.g., Professional Cloud Architect, Machine Learning Engineer) or equivalent are a plus.
  • Bachelor's Degree required with an advanced degree in Computer Science, Data Science, Engineering, or related field preferred.
  • Deep knowledge and hands-on experience with Google Cloud's AI ecosystem (including Agent Builder, Contact Center AI, and Dialogflow) 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 Google Cloud services (e.g., Vertex AI, Dialogflow CX), 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.
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
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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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Manufacturing Engineer, Factory Development

Hadrian

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering, or a relevant STEM field
  • In lieu of a degree, at least 5 years of leadership experience in a high-intensity production environment
  • Hands-on manufacturing experience
  • Experience in developing and implementing production processes/systems in a high-growth environment
  • Proven track record of project execution in a manufacturing setting
  • Demonstrated proficiency in solving deep technical or operations problems
  • Ability for occasional travel up to 35% of the time
  • ITAR requirements: U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State
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General Manager - Lounge Nightlife

Regines Lounge

Dallas, TX 75204

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11 - Senior Manager, Test Manufacturing Engineering

Celestica

Richardson, TX 75080

~ 18 min Onsite

  • Senior Manager, Test Manufacturing Engineering
  • 3+ years of experience in hardware test development, manufacturing test software execution, or diagnostic code engineering
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or closely related field
  • The Test Development Engineer is responsible for architecting, coding, and deploying advanced hardware and software test solutions across all manufacturing stages of high-performance compute infrastructure
  • DFT Optimization: Analyze circuit schematics and layout files to ensure adequate physical test point allocation, maximizing structural test access metrics before design release
  • Silicon Diagnostic Hookup: Collaborate with tier-1 chip vendors (e.g., Nvidia, Broadcom, Marvell) to implement and exercise built-in self-test (BIST), custom firmware loops, and JTAG boundaries
  • Automated Software Architecture: Develop, debug, and maintain scalable automated test code scripts using Python, C/C++, or LabVIEW to control instruments and extract diagnostics
  • Fixture & Interface Design: Specify, debug, and qualify hardware test interfaces, bed-of-nails fixtures, loopback cards, and switching matrices for ICT, FCT, and System-Level Test (SLT)
  • Coverage Metric Validation: Map and maintain comprehensive test coverage matrices, linking structural diagnostic coverage to systemic product escape mitigations
  • Production Tuning & Analytics: Yield & GR&R; Optimization: Perform Gauge R&R; studies, stability analysis, and statistical limit tuning (SPC) to eradicate false-failures and optimize overall test sequence cycle times
  • Debug & Failure Analytics: Provide rapid deep-dive diagnostic support for initial prototype failures, cross-referencing diagnostic log outputs with SMT and box build history to identify systemic defects
  • Knowledge/Skills/Competencies: Software Fluency: Strong proficiency coding in Python, C/C++, Linux shell scripting, or LabVIEW within test automation environments
  • Knowledge/ Skills/Competencies: Hardware Fluency: Expertise operating oscilloscopes, spectrum analyzers, high-speed BERTs, and boundary scan tools (e.g., JTAG Provision, Corelis). Deep understanding of ICT/FCT/SLT platforms
  • Physical Demands: Duties of this position are performed in a manufacturing environment with frequent exposure to elements such as noise, dust, chemicals, operating machinery, temperature extremes, etc.
  • Duties of this position require periodic light physical effort and exertion including prolonged repetitive motion, standing, sitting in a confined work space, climbing, using equipment, handling lightweight materials, etc.
  • Duties of this position require periodic heavy manual effort and considerable exertion including lifting objects over 20 pounds, requiring straining, pulling and lifting.
  • Duties may require periodic sustained visual concentration on a computer monitor or on numbers and other detailed data.
  • May require occasional travel.
  • Educational requirements may vary by geography.
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Global Data & Analytics Offering Leader

NTT America

Plano, TX 75026

$150,000-$350,000/yr
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Fullstack Java Developer, Vice President

Citi

Irving, TX 75062

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Senior Business Intelligence & Automation Analyst

McKesson

Irving, TX 75039

Hybrid~ 22 min

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent experience
  • 7+ years of experience as a BI Engineer, Data Analyst, Analytics Engineer, Data Engineer, or a related occupation delivering BI, analytics, and reporting solutions
  • Expert SQL
  • Data modeling and design
  • BI and visualization: advanced Power BI and Tableau
  • ETL/ELT and pipelines: hands-on experience programming to extract, transform, and clean large datasets, and building scheduled, monitored pipelines in tools such as Databricks, Microsoft Fabric, Azure Data Factory, or Snowflake
  • Scripting for automation: proficiency in Python or a similar language for data transformation and automation
  • Workflow automation: Power Automate, Power Apps, or comparable low-code tooling for reporting workflows
  • AI-enabled analytics (differentiator): applying LLM and GenAI capabilities to BI: automated narrative generation, conversational analytics, and agent-ready semantic layers
  • Executive tooling: advanced Excel and PowerPoint for analysis and executive storytelling
  • Demonstrated ability to establish business logic and metric definitions that turn raw data into trusted, consumable reporting
  • Experience communicating and presenting analytical results to senior leadership
  • Strong analytical skills with the ability to translate data into actionable insights
  • Demonstrated organizational and prioritization abilities
  • Ability to navigate ambiguity and deliver independently in a fast-paced transformation environment
  • Working knowledge of core finance concepts (ROI, forecasting, variance-to-plan, business-case and P&L; mechanics) and direct experience partnering with a finance or FP&A; team to translate financial methodology into data logic
  • Demonstrated ability to operate as the sole technical IC on a team, without a dedicated BI or data engineering organization to lean on for support, review, or troubleshooting
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