1394 Aiml Engineering Manager jobs in Dallas,TX
New, Posted 22 hours ago
Apply Directly
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.
New, Posted 22 hours ago
Apply Directly
Principal Engineer - Python API Development
Fidelity Investments
Euless, TX 76039
~ 28 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 1 day ago
Apply Directly
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
New, Posted 2 hours ago
Apply Directly
Applied Early Career Program - Field Service Engineer
Applied Materials
Dallas, TX 75221
Paid Relocation to Dallas, TX
Requires Travel
- Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
- Basic mechanical aptitude and interest in technical systems
- Willingness to learn and read electrical and mechanical schematics
- Ability to diagnose and solve basic technical problems
- Strong written and verbal communication skills
- Basic working knowledge of Microsoft Excel, Word, and PowerPoint
- Valid driver's license and ability to obtain a passport, if required for travel
- Ability to meet on-site safety, environmental, and customer requirements
New, Posted 1 hour ago
Apply Directly
Lead Analytics & Automation Engineer
McKesson
Irving, TX 75039
Hybrid~ 22 min
- Degree or equivalent and typically requires 7+ years of relevant experience.
- Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
- 7+ years of experience in business analysis, analytics, or business intelligence, with at least 2 years in a leadership or mentorship role
- Proficiency in SQL and hands-on experience building dashboards in Power BI, Tableau, or Looker
- Hands-on experience writing production-quality Python code (scripting, ETL/ELT, API integration); experience with RPA-to-AI/automation migration is a plus
- Experience delivering analytics solutions in a modern data environment (e.g., Snowflake, Databricks, or comparable cloud platforms)
- Strong understanding of BI best practices, data modeling, and end-to-end analytics delivery from requirements through UAT and adoption
- Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
- The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days remote
New, Posted 19 hours ago
Apply Directly
Network Deployment Technician, GND-NASA-Deploy
Amazon Data Services
Wilmer, TX 75172
Requires TravelHealth InsurancePaid Time OffRetirement Benefit
- 2+ years of computer networking experience
- 2+ years of Linux operating systems experience
- Experience in computer networking
- Experience with computer hardware troubleshooting and repair
- Bachelor's degree in Information Technology, Computer Science, or a related field; or equivalent work experience in a relevant technical discipline.
- Physical Requirements (all physical requirements may be done with reasonable accommodations). This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines.
- This role may involve up to 50% travel; the vast majority is local travel but may have the potential to include domestic and international travel to support the organization.
New, Posted 1 hour ago
Automation Engineer, IAH1 RME
Amazon.com Services LLC
Dallas, TX 75215
OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit
- Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent
- 2+ years of PLC programming or automation engineering experience
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience in PLC based controls design, development, implementation and support
Apply Directly
Quality Inspector I
Klein Tools
Mansfield, TX 76063
~ 38 min OnsiteHealth InsuranceRetirement Benefit
- High school diploma or equivalent
- One (1) year of related work experience
- Read, write, speak and understand basic English
- Proficiency in Microsoft Office Suite (Excel, Word, Outlook, and PowerPoint) and quality control software
- Ability to use/test measuring equipment including, but not limited to, micrometers, calipers, dial indicators, gauges, Rockwell hardness tester, optical comparator and templates, torque testing machine, gauge pins and blocks, and metallurgical equipment such as wet saws, grinders, and sample mounting equipment
- Perform moderately complex dimensional inspection of standard parts, units, or materials to ensure conformance with specifications
- Ability to perform process audits per defined control plans and react to non-conformances
- Document inspection results using quality software, Excel, or SharePoint
- Analyze inspection results with product stakeholders and follow non-conformance procedures for product containment and disposition
- Participate in problem solving teams
- Keep work area in a clean and orderly condition, complying with established 6S standards
- Perform other duties as required within the nature and level of work
- Ability to communicate with team members through verbal and written form
- Basic math skills
Apply Directly
Additive Manufacturing Engineering Lab Manager
Lockheed Martin
Fort Worth, TX 76108
~ 44 min OnsiteFlexible SchedulePaid Time Off
- MUST BE A U.S. CITIZEN
- This position is located at a facility that requires special access
- The selected candidate must be able to obtain a secret clearance
- Engineering or other technical bachelor's degree (STEM)
- ≥8 years of technical experience in metal and polymer additive manufacturing/3D printing technology, preferably in aerospace or defense
- Demonstrated success in developing technology roadmaps and securing funding for R&D; projects
- Technical leadership capability within challenging technical, cost, and schedule constraints
- Strong knowledge of AM processes and material certification for aerospace applications
- Team leadership experience in a dynamic, fast-paced environment
- Demonstrated collaboration with internal and external customers, DoD labs, and other government agencies on research and development, including CRAD
- Demonstrated collaboration with cross-functional teams, including engineering, manufacturing, and supply chain management, to ensure successful integration and identify and mitigate potential risks and issues
- Demonstrated skills in conflict resolution, proactive communication, and building collaborative relationships
- Experience with development of air vehicle products
- Experience preparing and delivering presentations to internal leadership and external customers
- Experience with strategic technical planning and proposal development
- Knowledge of Earned Value Management
- Planning and management of personnel resources, staff development and capital resources. Including recruitment, selection, training, assignments, performance, merit planning, recognition and disciplinary actions
- Experience supporting classified and sensitive programs
- Schedule: 4x10 hour day, 3 days off per week
- Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility
Apply Directly
Manager, IT Engineering
American Airlines
Fort Worth, TX 76101
Easy Apply
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 Engineering Manager jobs in Dallas,TX?
- Fidelity Investments
- KPMG
- Applied Materials
- McKesson
- Amazon Data Services
- Amazon.com Services LLC
- Klein Tools
- Lockheed Martin
- American Airlines
- obrien engineering
- Fidelity Investments
- KPMG
- Applied Materials
- McKesson
- Amazon Data Services
- Amazon.com Services LLC
- Klein Tools
- Lockheed Martin
- American Airlines
- obrien engineering
