Associate Machine Learning Engineer developing and deploying LLM and Agentic AI solutions for Manulife’s global financial services operations. Building data pipelines, APIs, and responsible AI systems.
About the role
- Experienced ML Engineer advising on speech-to-speech pipeline for Vosyn, an AI startup. Collaborate to optimize TTS models and lead technical initiatives.
Responsibilities
- Provide expert-level advice and mentorship on the architecture, training, and production of text-to-speech (TTS) models
- Guide the implementation of robust testing methodologies for TTS models using industry standards like MOS testing
- Share expertise in distributed training, monitoring, and deployment of large-scale ML models on cloud platforms
- Lead latency optimization initiatives in real-time systems for high-quality speech-to-speech conversion
- Provide guidance on tuning TTS models for precise control over speech characteristics
- Share in-depth knowledge of various TTS model architectures and waveform generation methods
- Mentor the team on implementing advanced deep learning models for audio processing
- Guide the development of transformer architectures for complex TTS model development
Requirements
- 5+ years of proven experience in machine learning development focused on audio generation and TTS systems
- Extensive expertise in audio signal processing, particularly for human voices
- Deep experience with TTS models, including waveform generation and spectrogram-based methods
- Proven expertise in tuning TTS models for duration control and speech characteristics
- Strong proficiency in Python and machine learning frameworks such as PyTorch
- Experience with advanced deep learning models like WaveNet and transformer-based architectures
- Demonstrated experience in distributed training and deployment of ML models on cloud platforms
- Strong understanding of evaluation metrics for TTS systems
- Proven ability to provide technical leadership and actionable guidance
- Excellent communication and mentoring skills.
Benefits
- Engage directly with senior management and strategic advisory board members
- Gain valuable experience in the bleeding-edge AI space
- Remote-first culture with flexible working arrangements
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
ML Ops Engineer building data pipelines, datasets, and training workflows for AeroVect’s autonomous ground - handling systems. Improving perception tooling, model diagnostics, and cloud efficiency.
Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
Student machine learning software engineer building end - to - end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production - ready software.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
LP
Machine_Learning_Specialist / Data Scientist / AI Developer
LinkedIn Recruiter Post
We are seeking a Machine Learning Specialist / Data Scientist / AI Developer with 6+ years of experience in Python, R, SQL, and machine learning.
Machine Learning Specialist developing AI, models, and analytical data products for the Government of Alberta. Applying machine learning to improve public services and policymaking.
Machine Learning Engineer developing production AI models and scalable MLOps platforms for Wave, which helps small businesses thrive. Collaborating on financial - risk applications, governance, observability, and reliable deployment.
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.