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Aiphoria

Aiphoria

aiphoria.ai

3 Jobs

49 Employees

About the Company

Aiphoria delivers an infinitely scalable workforce of AI-powered virtual employees for enterprise-grade Customer Support, Sales, Payments Management, Mass Recruitment, and other communication-intensive operations. Designed as voice-first workers, Aiphoria Pro agents can place phone calls, write messages, and respond to emails. They hold conversations with near-human quality while offering lower costs and virtually unlimited scalability — significantly boosting overall business efficiency. The Aiphoria Pro Platform also enables businesses to create their own agents using a zero-code design tool and a comprehensive set of analytical dashboards. Aiphoria’s globally distributed team includes some of the industry's most experienced AI and ML professionals, bringing over 15 years of hands-on expertise. Founded: 2022 Located: UK, UAE, Cyprus.

Listed Jobs

Company background Company brand
Company Name
Aiphoria
Job Title
Speech Data Engineer
Job Description
Job title: Speech Data Engineer Role Summary: Responsible for sourcing, evaluating, curating, and preparing multilingual speech datasets for ASR and TTS development, ensuring high-quality annotations and metadata, and supporting data pipelines and infrastructure. Expactations: - Deliver reliable, clean speech datasets that meet model training specifications. - Maintain versioned, accessible data repositories and documentation. - Collaborate with internal teams and external providers to optimize data quality and cost. Key Responsibilities: - Identify and assess unique data sources for speech data acquisition. - Collect, segment, diarize, and preprocess raw audio using tools such as VAD, Pyannote, whisper, etc. - Run speech recognition and pseudo‑labeling; work with crowdsourcing platforms to refine annotations. - Ensure transcription accuracy, speaker diversity, and consistent metadata across languages. - Align dataset specifications with ASR/TTS model needs and support data infrastructure (e.g., DVC). - Evaluate external datasets, support make‑vs‑buy decisions, and maintain clear records of datasets’ provenance. - Contribute to dataset versioning, organization, and lifecycle management. Required Skills: - Hands‑on experience with speech segmentation, diarization, and labeling tools (VAD, Pyannote, Whisper). - Proficiency in acoustic quality metrics: SNR, spectral analysis, and other signal‑to‑noise indicators. - Strong understanding of differences between ASR (noisy) and TTS (clean) data requirements. - Familiarity with data versioning (e.g., DVC) and pipeline maintenance. - Ability to work with multilingual audio recordings and diverse speaker populations. - Excellent documentation and version control practices. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Speech Engineering, Linguistics, or related field. - Certifications in speech processing, data science, or related domains preferred (e.g., Microsoft Certified: Data Analyst Associate, TensorFlow for Cloud & Edge).
London, United kingdom
Remote
12-01-2026
Company background Company brand
Company Name
Aiphoria
Job Title
Machine Learning Engineer TTS
Job Description
**Job title**: Machine Learning Engineer – Text-to-Speech (TTS) **Role Summary** Develop and optimize advanced TTS models (FastPitch, FastSpeech 2, VITS, Glow‑TTS) to deliver natural, expressive voice output for a voice‑assistant platform. Collaborate with product, engineering, and data teams to integrate TTS technology, construct audio data pipelines, and continuously improve model performance across accents, dialects, and prosodic styles. **Expectations** - Design, train, and refine end‑to‑end TTS architectures using PyTorch. - Ensure models meet quality benchmarks (MOS, A/B testing) and operational standards. - Stay current with emerging TTS research and integrate innovative techniques into production. - Deliver documented code, performance reports, and reproducible pipelines. **Key Responsibilities** - Architect and implement TTS models (FastPitch, FastSpeech 2, VITS, Glow‑TTS). - Build and maintain robust audio data pipelines from recording to model training. - Collaborate with product managers for feature requirements and user‑centric design. - Conduct rigorous evaluation (MOS, A/B) and iterate models for accent, dialect, and prosody control. - Integrate and benchmark vocoders (Vocos, HiFi‑GAN, Mimi). - Publish research‑grade experiments and internal white‑papers. **Required Skills** - Python programming and PyTorch deep‑learning framework. - Expertise in TTS synthesis techniques and fast attention‑based models. - Proficiency in prosody control, rhythm, and emotional tone modeling. - Knowledge of normalization methods (FSTs, NN normalization). - Experience with TTS evaluation metrics (MOS, A/B testing). - Familiarity with vocoders and signal‑processing fundamentals. - Strong statistical modeling, language‑structure understanding, and voice‑data pipeline design. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, or related field. - Preference for additional coursework or certifications in Speech Processing, Deep Learning, or Signal Processing. Related professional certifications (e.g., Deep Learning Specialization, ML Engineer Certification) are advantageous but not mandatory.
London, United kingdom
Remote
12-01-2026
Company background Company brand
Company Name
Aiphoria
Job Title
Senior Backend Developer
Job Description
Job title: Senior Backend Developer Role Summary: Lead backend engineering for the Delivery team, adapting the platform for new customers and pilots. Blend product development, integration, and infrastructure optimization while solving production-level issues in a dynamic, high-uncertainty environment. Expectations: - 4+ years of production-level Python development, with a strong focus on asynchronous frameworks (FastAPI, aiohttp, etc.). - Proven ability to debug cross-service problems and work effectively with evolving requirements. - Comfortable using AI tools and libraries to enhance development and troubleshooting. - Demonstrated agility in fast-moving, high‑uncertainty contexts. Key Responsibilities: - Adapt existing platform components to meet client‑specific environments. - Implement new features and integrations tailored to individual customers. - Maintain and evolve internal backend libraries. - Investigate, diagnose, and remediate production and on‑premise issues. - Improve logging, tracing, and overall observability across services. - Participate in rapid‑iteration pilots, adjusting the platform on short timelines. - Collaborate with infrastructure and product teams to resolve cross‑service challenges. Required Skills: - Deep knowledge of Python, including async programming and web frameworks (FastAPI, aiohttp). - Debugging expertise across distributed services and micro‑service boundaries. - Experience with gRPC and service delivery/integration patterns. - Familiarity with infrastructure design and system architecture. - Ability to work independently on partially defined tasks. - Familiarity with AI‑assistive development tools. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or equivalent technical background. - (Preferred) Professional certifications related to Python, cloud platforms, or distributed systems.
London, United kingdom
Remote
Senior
10-02-2026