2803 Aiml Applied Ai Engineer jobs in Dallas,TX
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Principal Engineer - Python API Development
Fidelity Investments
Irving, TX 75061
~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
- 8+ years (typically 10+) building and operating production platforms and services at scale
- Deep software engineering expertise in Python and distributed systems
- A track record of building production‑grade services, libraries, and internal platforms
- Linux fluency and scripting are required
- Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
- Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
- DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
- Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
- ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
- Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
- Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
- Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
- Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
- Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
- Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
- Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
- Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
- The base salary range for this position is $107,000-216,000 USD per year.
- Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
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Principal Engineer - Python API Development
Fidelity Investments
Coppell, TX 75019
~ 31 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
- 8+ years (typically 10+) building and operating production platforms and services at scale
- Deep software engineering expertise in Python and distributed systems
- A track record of building production‑grade services, libraries, and internal platforms
- Linux fluency and scripting are required
- Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
- Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
- DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
- Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
- ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
- Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
- Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
- Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
- Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
- Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
- Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
- Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
- Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
- The base salary range for this position is $107,000-216,000 USD per year.
- Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
New, Posted 14 hours ago
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Senior Associate, AI Engineer
KPMG
Dallas, TX 75217
OnsiteHealth InsuranceRetirement Benefit
- Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
- Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited college or university a plus
- Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
- Proficiency in Python or another programming language commonly used in AI/ML
- Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and APIs
- Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
- Ability to travel as required
- 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)
New, Posted 1 day ago
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Engineer/Sr Engineer, IT Software
American Airlines
Fort Worth, TX 76101
~ 44 min Onsite
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 3+ years of experience designing, developing, and implementing large-scale solutions in production environments
Remote Online Tasks – Earn Up to $1,500/month Playing Games
Free Cash
Dallas, TX 75202
$1,500/mo
Remote
Easy Apply
Warehouse Worker
Adecco
Dallas, TX 75217
$18/hr
OnsiteHealth InsurancePaid Time OffRetirement Benefit
- High school diploma or equivalent
- 2+ years of general warehouse experience
- Experience with powered industrial trucks (order pickers) is a must
- Shift: Monday – Friday - 7:00 AM – 3:30 PM
- Pay: $ 18.00 p/h
- Package and label shipments according to standard operating procedures and complete documentation requirements for hazardous materials
- Process customer orders daily to meet their expectations
- Work in one or more process paths; receiving, picking, packing, or shipping
- Help make sure inventory is stored properly
New, Posted 8 hours ago
IT Architect II-IM Application Development
CHRISTUS Health
Irving, TX 75039
~ 22 min Onsite
- Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
- Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
- Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
- Security model understanding and maintenance
- Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
- Experience in data integration with ETL techniques and frameworks
- Experience in Big Data querying tools, such as Hive, Impala and Spark SQL
Easy Apply
Remote Customer Service
Hire Standard Staffing
Dallas, TX
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
iHire
Machine Learning Engineer
Capital One
Plano, TX 75023
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Printed Wiring Board Fabricator A - 1st Shift
Lockheed Martin
Grand Prairie, TX 75051
~ 28 min OnsiteFlexible SchedulePaid Time Off
- Six to twelve months experience in Printed Wiring Board (PWB) manufacturing required.
- Under direct guidance, be able to understand and recognize basic chemical compatibility.
- Works well in a team environment
- Basic computer skills
- Must be a US Citizen, this position is located at a facility that requires special access
- MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access
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Water Resources Engineer Technical Lead
obrien engineering
Dallas, TX 75248
OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- 12+ years of experience
- BS in Civil Engineering
- Professional Registration: Texas PE or ability to obtain Texas registration within 12 months
- Hydrologic, hydraulic, hydrodynamic and 2D modeling
- ArcGIS and related tools
- Experience with master flood studies, master drainage studies, comprehensive watershed studies, bank stabilization, storm drainage remediation, hydraulic analysis of bridges, culverts, channels, flumes, energy dissipation analysis; dam break analysis a plus
- Minimum three days a week in-office
What companies are hiring Aiml Applied Ai Engineer jobs in Dallas,TX?
- Fidelity Investments
- KPMG
- American Airlines
- Free Cash
- Adecco
- CHRISTUS Health
- Hire Standard Staffing
- Capital One
- Lockheed Martin
- obrien engineering
- Fidelity Investments
- KPMG
- American Airlines
- Free Cash
- Adecco
- CHRISTUS Health
- Hire Standard Staffing
- Capital One
- Lockheed Martin
- obrien engineering
What is the hourly salary range for Aiml Applied Ai Engineer jobs in Dallas,TX?
The hourly salary range is $18 - $18.
The hourly salary range is $18 - $18.
