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Recommender Systems Jobs in Texas (NOW HIRING)

Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform ...

Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform ...

Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform ...

Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform ...

Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform ...

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... recommender systems • Skill in Python, R, or similar statistical programming languages • Experience with techniques in Natural Language Processing like named entity recognition, information ...

Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform ...

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Recommender Systems information

What is a recommender system?

A Recommender Systems job involves designing, building, and optimizing algorithms that suggest relevant content, products, or services to users based on their preferences and behavior. Professionals in this field work with machine learning, data science, and engineering to develop personalized recommendations for platforms like e-commerce sites, streaming services, and social media. They analyze large datasets, fine-tune models, and collaborate with cross-functional teams to improve user experiences and drive business goals.

What does a recommender system do?

Professionals in Recommender Systems typically spend their days designing, developing, and optimizing algorithms that suggest personalized content or products to users. Their tasks often involve analyzing large datasets, implementing and testing machine learning models, and collaborating closely with engineers, data scientists, and product managers to deploy these solutions. Regularly reviewing user feedback and system metrics is also important for continuous improvement. The role often requires balancing technical work with cross-team communication to ensure the recommended systems align with overall business objectives.

What are the key skills and qualifications needed to thrive in recommender systems?

To thrive in a Recommender Systems role, you need a strong background in computer science, machine learning, statistics, and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with programming languages such as Python or Scala, frameworks like TensorFlow or PyTorch, and experience with big data tools and collaborative filtering algorithms are typically required. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively with cross-functional teams are invaluable soft skills. These competencies are vital to designing effective recommendation algorithms that enhance user experiences and deliver business value.

What are popular job titles related to Recommender Systems jobs in Texas?

For Recommender Systems jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Recommender Systems jobs in Texas look for?

The top searched job categories for Recommender Systems jobs in Texas are:

Infographic showing various Recommender Systems job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Lead Full-Stack Engineer - API and GraphQL - SGWS

Addison, TX • On-site

ShiftCode Analytics, Inc.
IT Services • 11 - 50 employees

Full-time

Re-posted 9 days ago


Job description

Job Summary:
ShiftCode Analytics, Inc. is a company seeking a Lead Full-Stack Engineer specialized in API and GraphQL development. The role involves designing and maintaining scalable APIs, developing backend services, and collaborating with various teams to ensure effective API integration and deployment.
Responsibilities:
• Design, develop, and maintain scalable RESTful APIs and GraphQL APIs using modern frameworks and best practices.
• Develop backend services using Node.js (Express/Nest.js), FastAPI (Python-based services), Ariadne (GraphQL APIs), and Golang (Streaming services).
• Integrate with Databricks to expose and manage OLAP (Online Analytical Processing) workloads, enabling API-driven data querying and analytics at scale.
• Architect APIs following metadata-driven design principles, ensuring that data can be dynamically exposed to users inside or outside the system while maintaining dynamic authentication mechanisms.
• Deploy and scale API services using AWS Lambda, Kubernetes (EKS), and AWS Bedrock for serverless and microservices-based architectures.
• Implement authentication and authorization best practices (OAuth2, JWT, API Gateway) while supporting dynamic authentication models based on user roles and access control.
• Design and optimize database interactions using SQL/NoSQL databases (MongoDB, PostgreSQL, DynamoDB).
• Develop CI/CD pipelines for automated API deployment using AWS services (CodePipeline, Bedrock, CloudFormation).
• Monitor and improve API performance, logging, and error handling using Prometheus, Grafana, and ELK stack.
• Work on AI-driven API integrations including Recommender Systems, LLM-based AI Agents, and AI-powered Image & Video Processing workflows.
• Collaborate with front-end engineers, data scientists, and DevOps teams to ensure seamless API integration and scalable deployments.
Qualifications:
Required:
• 9+ years of experience in API development with GraphQL (Ariadne) and RESTful services.
• Strong hands-on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
• Proficiency in API design principles, focusing on metadata-driven frameworks that allow dynamic data exposure with adaptable authentication models.
• Experience with AWS Lambda, AWS Bedrock, and Kubernetes (EKS) for serverless and microservices architectures.
• Hands-on experience designing scalable and modular API architectures.
• Expertise in OAuth2, JWT, API Gateway, and dynamic authentication mechanisms.
• Strong knowledge of OLAP workloads and Databricks integration for API-driven data analytics.
• Experience with SQL/NoSQL databases (MongoDB, PostgreSQL, DynamoDB).
• CI/CD automation expertise (Jenkins, GitHub Actions, AWS CodePipeline).
• Proficiency in API testing frameworks (Postman, Newman, Jest, Mocha, PyTest).
• Strong debugging, logging, and monitoring skills (Grafana, Prometheus, ELK stack).
Preferred:
• Experience with GraphQL federation and Apollo Server.
• Knowledge of AI/ML APIs and LLM-based chatbot APIs (OpenAI, Hugging Face, LangChain).
• Experience with streaming technologies (Kafka, WebSockets, Golang-based streaming).
• Prior work with AI-powered data mapping, recommender systems, and real-time processing APIs.
Company:
ShiftCode Analytics Inc is a Tampa, FL based firm formed with one sole purpose of delivering best and quick services to its clients nationwide. Founded in 2019, the company is headquartered in Tampa, USA, with a team of 51-200 employees. The company is currently Growth Stage.

ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019