FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in training and deploying deep learning models, particularly in audio and NLP, with a strong focus on voice cloning and singing voice conversion. Proficient in model evaluation and integration of multilingual text-to-speech solutions, ensuring high-quality output and user experience.
Highest-signal resume keywords
Deep Learning Model TrainingVoice CloningText-to-Speech Fine-TuningProficiency in PyTorchNative Spanish Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Voice CloningSinging Voice ConversionText-to-Speech Model Fine-TuningLLM Fine-TuningModel EvaluationEvidence-Based TestingData ExpansionAPI IntegrationLyrics GenerationContainerization
Soft Skills
Rigorous EvaluationQuality Assessment
Tools & Technologies
PyTorchRunPodAWSDockerServerless InferenceChatterbox Multilingual LoRAACE StudioACE-StepRVCSo-vits-svc
Industry Keywords
Audio ProcessingNLPMusic ProductionMIDIDAWsVoice AIConsent-Based Voice AI
Tech Stack
Tools & technologiesAWSCloudDockerPyTorch
About the role
Key responsibilities & impact- Fine-tune and improve a singing-voice conversion and cloning model
- Increase vocal fidelity from a 70–75% baseline to at least 90% in blind listening tests
- Reproduce expressive vocal characteristics including vibrato, falsetto, dynamics, spoken delivery, and sung delivery
- Evaluate training dataset expansion, alternative base models, and enterprise APIs
- Own and improve a validated Chatterbox Multilingual LoRA fine-tune for a Spanish-speaking voice
- Ensure accurate Mexican-accent reproduction and pronunciation of J, Ñ, and X
- Containerize the text-to-speech model and deploy it as a serverless inference endpoint using RunPod or similar
- Integrate the inference endpoint with the existing web platform through an API
- Train a second version using clean studio recordings to improve output stability
- Develop a proprietary Spanish-language lyrics-generation model
- Use an open-weight LLM, LoRA fine-tuning, DPO preference optimization, and RAG over a curated content corpus
- Establish evaluation criteria and organize quality assessment with native Spanish speakers
- Integrate the completed lyrics model into the existing frontend
Requirements
What you’ll need- 3+ years of experience training and deploying deep learning models in production, preferably within audio or NLP
- Hands-on experience in at least two of: voice cloning or Singing Voice Conversion (SVC); Text-to-Speech model fine-tuning; LLM fine-tuning using LoRA, DPO, and RAG
- Strong proficiency in PyTorch
- Practical experience with GPU cloud infrastructure such as RunPod or AWS
- Experience with Docker and serverless inference
- Rigorous, evidence-based model evaluation, including benchmarks, ablation studies, and blind testing
- Native or strong professional proficiency in Spanish, required for lyrics evaluation and voice quality assurance
- Music background or experience with music-production tools and workflows, including stems, MIDI, and DAWs (nice to have)
- Experience with singing-voice synthesis solutions such as ACE Studio, ACE-Step, RVC, so-vits-svc, or similar technologies (nice to have)
- Experience working with licensed celebrity or artist voices and consent-based voice AI (nice to have)
Benefits
Comp & perks- Security through client vetting to minimize risks and ensure reliability and timely payments
- Career support and assistance finding new opportunities
- Legal assistance with independent contractor or sole proprietorship status, taxes, and related processes
- English courses
- Professional growth opportunities
- Team-building events
- Flexible working hours
- 29 days of PTO (18 working days per year plus all national holidays)
- 10 paid recovery days
- Full financial and legal support for independent contractors
- Free English classes with native speakers or Ukrainian teachers
- Dedicated HR support