1442 Packaged Application Development Manager jobs in Dallas,TX

New, Posted 10 hours ago

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Business Development Representative II, Spectrum Business

Spectrum

Coppell, TX 75019

~ 31 min OnsiteUrgently Hiring

Bachelor's degree in business administration, marketing or a related field or an equivalent combination of education, training and experience
1+ years of business development, sales development, prospecting for new business and accounts or IT/software-as-a-service business development
Business and account planning implementation experience
Ability to read, write, speak and understand English
Aptitude to learn Spectrum Business product suite and sales methodology
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.

New, Posted 13 hours ago

Restaurant Assistant Manager

Highland Springs by Erickson Senior Living

Dallas, TX 75391

$3,000 bonus

Urgently Hiring

New, Posted 19 hours ago

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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 22 min OnsiteUrgently Hiring

Time management skills.
Must be adaptable to a changing work environment, completing jobs and must be able to deal with frequent change, delays, or unexpected events.
Attention to details and ability to focus on assignment.
Knowledge of reading engineering technical drawings, including GD&T; callouts
Effective English communication skills, including writing.
Knowledge of inspection tools (i.e. scopes, calipers, micrometers, etc) along with ability to focus for an extended amount of time while using microscope.
Have good computer skills and able to use Microsoft office products.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Associate, Model Development (Hybrid Position)

Santander Holdings USA

Dallas, TX 75201

Hybrid

Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
5+ Years Analytics in Financial Services Industry. - Required.
5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
5+ Years Prior experience developing credit scoring models preferred. - Preferred.
Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
Prior experience working with credit bureau data.
Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
Demonstrated ability to create complex pivot tables in MS Excel.
Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
Ability to translate analysis into a clear business plan.
Strong written and verbal communication skills.
Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
Ability to maintain confidentiality..

SmartExplore AI is experimental.

New, Posted 11 hours ago

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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.

SmartExplore AI is experimental.

New, Posted 11 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 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.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Residential Sales Representative

Astound

Dallas, TX 75201

$56,000/yr

$5,000 bonus

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High school diploma or equivalent
Must have valid driver's license and reliable transportation

SmartExplore AI is experimental.

New, Posted 19 hours ago

Recommended

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Inventory Management Support C

L3 Harris

Plano, TX 75025

~ 27 min OnsiteUrgently HiringBilingual Preferred

Requires a High School Diploma or equivalent and a minimum of 6 years of prior relevant experience or 2 years post-Secondary/Associates Degree with a minimum of 2 years of prior related experience.
Ability to obtain a U.S. Security Clearance.

SmartExplore AI is experimental.

New, Posted 21 hours ago

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Quality Technician I

TREEHOUSE FOODS

Carrollton, TX 75007

~ 27 min OnsiteEducation AssistancePaid Time OffRetirement Benefit

High school diploma or equivalent
Associate degree in a related field is a plus
Previous experience in quality control, laboratory testing, or a related role within a manufacturing or food production environment is strongly preferred
Familiarity with laboratory testing techniques, quality assurance protocols, and regulatory requirements is preferred
Proficient in Microsoft Office
Ability to work collaboratively in a team environment and manage multiple tasks effectively
Test and inspect products at various stages of the production process
Compiles and evaluates analytical data to determine and maintain the quality and reliability of products
Perform physical and chemical testing on retail products to ensure compliance with company standards and regulatory requirements
Conduct routine sampling and auditing of retail and industrial packaging materials and raw ingredients for quality and specification adherence
Initiate corrective actions as needed
Maintain and update testing procedures in alignment with industry best practices
Maintain adherence to company material specifications and regulatory guidelines
Input and manage test results in the Laboratory Data Management System (LDMS) accurately and in a timely manner
Prepare and complete Certificates of Analysis (COA) for outbound shipments
Maintain a clean, organized, and safe laboratory environment, following all laboratory safety protocols
Perform shift-based specialty tasks such as environmental monitoring, water quality monitoring, and sample shipping
Manage and prepare customer retail samples for shipment as needed
Ensure compliance with industry regulations such as FDA, GMP, HACCP, and ISO standards
Adhere to food safety and workplace safety protocols in alignment with company policies
This is a full-time, on-site role on third shift. Occasional flexibility may be required to support alternate shifts