1077 Machine Learning Data Scientist Gen Ai jobs in Dallas,TX

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Remote Sales Associate – No Experience Required

Globe Life - Waisman Organization - Dallas, TX

Remote Sales Associate – No Experience Required

RemoteRetirement Benefit

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Automated Machine Operator

Ecolab

Garland, TX 75040

$26.02/hr

~ 26 min OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School diploma or GED
1 year of experience working in a manufacturing environment using the following equipment: filler, sleeve labeler, cappers, tape machine, bar coders, ink jet printer, hand wrenches, hand stamps, palletizers, lid presses
1 year of experience working with automated processes in a manufacturing environment
1 year working with Microsoft Office Programs (Word, Excel and Outlook)- tablets are used in this role
No immigration sponsorship available for this role
Position requires lifting/carrying up to 50 lbs

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Principal Data Scientist, IT Analytics

American Airlines

Fort Worth, TX 76101

~ 44 min OnsiteHealth InsuranceRetirement Benefit

Master's degree in Data Science, ML/AI, Operations Research, Industrial Engineering, Statistics, Computer Science, or related technical discipline
5 years of experience developing ML/AI, Operations Research, and Analytics solutions
3 years of experience leading ML/AI, Operations Research, and Analytics projects, either formally or informally
2 years of Python experience developing ML/AI, Generative AI, Operations Research solutions
Proven ability to build, cultivate and promote strong relationships with business partners, IT counterparts, and external groups
Proficiency in one or more of the following: Machine Learning/AI, Generative AI, Data Science, Statistics, Optimization, Simulation, Forecasting

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Machine Operator (Laser) - 2nd Shift

Martin Sprocket & Gear

Mansfield, TX 76063

~ 38 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Machine Operator
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
Report daily to the branch to perform each essential duty satisfactorily

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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 2nd shift

Martin Sprocket & Gear

Arlington, TX 76015

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Must be able to report daily to the company's Arlington, TX branch to perform each essential duty satisfactorily

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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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