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Music Ai Audio Python Jobs in Texas (NOW HIRING)

Sirius XM Radio

Staff Python Engineer

Irving, TX · On-site

Our critically acclaimed, industry-leading audio entertainment encompasses music, sports, comedy ... Brings in AI stewardship. What you'll do: * Lead the design and development of highly scalable and ...

GDH

CCAI Voice AI Solutions Developer

Plano, TX

$70 - $75/hr

Build and maintain real-time audio streaming pipelines between Genesys AudioHook and Google Cloud ... Expertise in Python and Java for developing services and integrations, along with containerization ...

RealPage, Inc.

AI Engineer (DFW Hybrid)

Richardson, TX

$85.80K - $146.20K/yr

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Python for AI/ML, data pipelines, and back-end services * JavaScript/TypeScript for front-end and ...

RealPage, Inc.

AI Engineer (DFW Hybrid)

Richardson, TX · On-site

$85.80K - $146.20K/yr

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Python for AI/ML, data pipelines, and back-end services * JavaScript/TypeScript for front-end and ...

RealPage, Inc.

Developer III

Richardson, TX · Hybrid

$107.20K - $182.60K/yr

Produce clean, production-ready Python and JavaScript/TypeScript code. Evaluation & Quality ... Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio ...

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Develop generative AI solutions for text generation, summarization, audio-to-text transcription ... Proficiency in Python, LangChain/LlamaIndex, and vector databases (Pinecone, Weaviate, Chroma ...

Mondo

Senior Software Engineer

Dallas, TX · Remote

$70 - $80/hr

... audio and display ad targeting * Leverage AI tooling to break down product requirements into ... Strong proficiency in Python as a primary development language * Experience using Django for API ...

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Music Ai Audio Python information

What are the key skills and qualifications needed to thrive as a Music AI Audio Python Engineer, and why are they important?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

What are popular job titles related to Music Ai Audio Python jobs in Texas? For Music Ai Audio Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Music Ai Audio Python jobs in Texas look for? The top searched job categories for Music Ai Audio Python jobs in Texas are:
What cities in Texas are hiring for Music Ai Audio Python jobs? Cities in Texas with the most Music Ai Audio Python job openings:
Music Ai Audio Python jobs near you
Sr. Python/AI Engineer

Sr. Python/AI Engineer

Software Guidance & Assistance

Irving, TX

Other

Posted 10 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for an Sr. Python/GenAI Engineer for a RIGHT TO HIRE assignment with one of our premier IBanking clients in Irving, TX .
Responsibilities :
  • AI Agent Development: Build and orchestrate AI agents using frameworks like LangChain, AutoGen, or CrewAI, implementing self-healing workflows (e.g., Act-Verify-Refine loops).
  • LLM Integration & Backend: Develop robust backend systems using Python and TypeScript, integrating LLMs into microservices architectures.
  • Data Management for LLMs: Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding.
  • Prompt Engineering: Design and optimize prompt strategies, including automated evaluation frameworks, for high-quality LLM output.
    Context Engineering: Manage LLM information ecosystems, including system prompts, RAG implementation, and conversation history.
  • MLOps & Deployment: Oversee the end-to-end lifecycle of generative models, focusing on inference speed, cost-efficiency, and scalability on cloud platforms (AWS, Google Cloud Platform, Azure).
  • AI Ethics & Compliance: Ensure adherence to security standards, IP regulations, and safety guidelines for all generative models.
    Tool Orchestration: Define and manage the API/tool access for AI agents to optimize accuracy.
Required Skills:
  • Technical Proficiency: Strong command of Python, PyTorch, TensorFlow, and Hugging Face libraries.
  • GenAI Experience: Hands-on experience with LangChain, LlamaIndex, vector databases, and fine-tuning techniques (LoRA, QLoRA).
  • API & Backend: Proven ability to integrate AI models into web applications via APIs (OpenAI, Anthropic).
  • Software Engineering: Solid understanding of software engineering best practices, including Git, CI/CD, and Docker.

Preferred Skills:
  • Experience with multimodal AI models (image, video, audio generation).
  • Published AI/LLM research or contributions to open-source AI projects.
  • Background in AI governance or safety policy development.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.

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