4289 Engineer Ai Ml Engineering jobs in Dallas,TX
New, Posted 11 hours ago
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Controls Business Development Manager (Building Automation Systems)-Dallas, TX
Top Tempo Technical
Dallas, TX 75217
Onsite
- 5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
- Demonstrated success generating new business and closing large commercial projects.
- Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
- Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
- Experience reviewing plans, specifications, and conceptual project requirements.
- Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
- Excellent presentation, negotiation, and communication skills.
- Self-starter with exceptional organizational and time-management abilities.
- Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.
New, Posted 1 hour ago
AI/ML Developer - AI Trainer
DataAnnotation
Coppell, TX 75019
Flexible ScheduleBilingual Preferred
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Commissioning Engineer
Amazon Data Services
Dallas, TX 75201
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
New, Posted 1 day ago
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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 1 day ago
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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 14 hours ago
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Principal Engineer, IT Systems Engineering
American Airlines
Fort Worth, TX 76101
~ 44 min Onsite
- Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 8 years experience as a software or platform engineer
- 5 years of experience with public and private cloud technologies, particularly Kubernetes
- Hands-on experience in systems development in a variety of computing architectures and environments
- Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
- Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
- Experience with Kubebuilder and/or Operator SDK
- A test-first mindset and experience using Ginkgo/Gomega
- Strong understanding of Kubernetes networking internals and cloud networking concepts.
- Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
- Proficient in infrastructure automation & orchestration
- Proficient in Agile methodologies
- Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
- Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
- Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
- Proven ability to build strong and sustainable relationships with internal and external stakeholders
- Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
- Ability to thrive in a sense-of-urgency environment and leverage best practices
New, Posted 22 hours ago
iHire
Machine Learning Engineer
Capital One
Plano, TX 75023
New, Posted 14 hours ago
DiversityJobs
Sr Data Scientist
Gartner
Irving, TX 75039
New, Posted 13 hours ago
Remote Game Tester
Babki
Dallas, TX 75215
RemoteNo Experience
New, Posted 14 hours ago
DiversityJobs
Network Engineer
Optimum Communications
Plano, TX 75086
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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.
What companies are hiring Engineer Ai Ml Engineering jobs in Dallas,TX?
- Top Tempo Technical
- DataAnnotation
- Amazon Data Services
- McKesson
- Applied Materials
- American Airlines
- Capital One
- Gartner
- Babki
- Optimum Communications
- Fidelity Investments
- Top Tempo Technical
- DataAnnotation
- Amazon Data Services
- McKesson
- Applied Materials
- American Airlines
- Capital One
- Gartner
- Babki
- Optimum Communications
- Fidelity Investments
