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Ai Algorithm Engineer Jobs in Dallas, TX (NOW HIRING)

... and AI algorithms within existing Mobile Apps. * Contribute to the design and development of AI ... engineering strategies for LLMs * Collaborate with cross-functional teams to understand project ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor ...

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

As a CBRE Senior AI Engineer, you will be instrumental in designing, building, deploying, and ... In-depth understanding of machine learning algorithms, deep learning architectures, and their ...

The Gen AI Solution Engineer role involves leveraging generative AI technologies to build scalable ... refine algorithms to meet business needs. • Review plan for smooth deployment into scalable ...

New

Sr. Engineer, AI & ML

Dallas, TX · On-site

$103K - $142K/yr

... Engineer, Artificial Intelligence is a technologist with domain-specific expertise in Generative AI ... Data Science Libraries and Algorithms (TensorFlow, Scikit, PyTorch, etc) Work Location and ...

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Ai Algorithm Engineer information

See Dallas, TX salary details

$58.9K

$110.4K

$200.8K

How much do ai algorithm engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for ai algorithm engineer in Dallas, TX is $110,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $131,100.00 per year, depending on experience, location, and employer.

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Dallas, TX? For Ai Algorithm Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Dallas, TX look for? The top searched job categories for Ai Algorithm Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Ai Algorithm Engineer jobs? Cities near Dallas, TX with the most Ai Algorithm Engineer job openings:
AWS Gen AI / ML Engineer

AWS Gen AI / ML Engineer

NAVA Software Solutions

Plano, TX • On-site

Full-time

Re-posted 25 days ago


Job description

NAVA Software solutions is looking for an AWS Gen AI / ML Engineer
Details:
AWS Gen AI / ML Engineer
Location: Plano, TX - Onsite 5 days
Job Type: Contract
Description: We are seeking an AWS ML Cloud Engineer to design, deploy, and optimize cloud-native machine-learning systems that power our next-generation predictive-automation platform. You will blend deep ML expertise with hands-on AWS engineering, turningdata into low-latency, high-impact insights. The ideal candidate commands statistics, coding, and DevOps-and thrives on shipping secure, cost-efficient solutions at scale
Objectives of this role
  • Design and productionize cloud ML pipelines (SageMaker, Step Functions, EKS) that advance predictive-automation roadmap
  • Integrate foundation models via Bedrock and Anthropic LLM APIs to unlock generative-AI capabilities
  • Optimize and extend existing ML libraries / frameworks for multi-region, multi-tenant workloads
  • Partner cross-functionally with data scientists, data engineers, architects, and security teams to deliver end-to-end value
  • Detect and mitigate data-distribution drift to preserve model accuracy in real-world traffic
  • Stay current on AWS, MLOps, and generative-AI innovations; drive continuous improvement

Responsibilities
  • Transform data-science prototypes into secure, highly available AWS services; choose and tune the appropriate algorithms, container images, and instance types
  • Run automated ML tests/experiments; document metrics, cost, and latency outcomes
  • Train, retrain, and monitor models with SageMaker Pipelines, Model Registry, and CloudWatch alarms
  • Build and maintain optimized data pipelines (Glue, Kinesis, Athena, Iceberg) feeding online/offline inference
  • Collaborate with product managers to refine ML objectives and success criteria; present results to executive stakeholders
  • Extend or contribute to internal ML libraries, SDKs, and infrastructure-as-code modules (CDK / Terraform)

Skills and qualifications
  • Primary technical skills
  • AWS SDK, SageMaker, Lambda, Step Functions
  • Machine-learning theory and practice (supervised / deep learning)
  • DevOps & CI/CD (Docker, GitHub Actions, Terraform/CDK)
  • Cloud security (IAM, KMS, VPC, GuardDuty)
  • Networking fundamentals
  • Java, Springboot, JavaScript/TypeScript & API design (REST, GraphQL)
  • Linux administration and scripting
  • Bedrock & Anthropic LLM integration

Secondary / tool skills
  • Advanced debugging and profiling
  • Hybrid-cloud management strategies
  • Large-scale data migration
  • Impeccable analytical and problem-solving ability; strong grasp of probability, statistics, and algorithms
  • Familiarity with modern ML frameworks (PyTorch, TensorFlow, Keras)
  • Solid understanding of data structures, modeling, and software architecture
  • Excellent time-management, organizational, and documentation skills
  • Growth mindset and passion for continuous learning

Preferred qualifications
  • 10+ years of Software Experience
  • 3+ years in an ML-engineering or cloud-ML role (AWS focus)
  • Proficient in Python (core), with working knowledge of Java or R
  • Outstanding communication and collaboration skills; able to explain complex topics to non-technical peers
  • Proven record of shipping production ML systems or contributing to OSS ML projects
  • Bachelor's (or higher) in Computer Science, Data Engineering, Mathematics, or a related field
  • AWS Certified Machine Learning - Specialty and/or AWS Solutions Architect - Associate a strong plus

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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