Senior Machine Learning Engineer
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Key skills for this role
About the Role
Presight seeks a Senior Machine Learning Engineer with deep expertise in audio and speech technologies to drive design, development, and deployment of advanced ML models for a data integration platform.
Key Skills for This Role
Responsibilities
- Develop, train, and deploy production grade models for speech to text, speaker identification, keyword spotting, language identification, and deepfake detection
- Research and integrate transformer based and multi modal model architectures into production pipelines
- Collaborate with platform engineers to deploy ML models via NVIDIA Triton Inference Server and ensure low latency, scalable serving
- Design and maintain Airflow DAGs for data preprocessing, feature extraction, and model enrichment pipelines
- Ensure continuous improvement of models through retraining, performance monitoring, and data feedback loops
- Collaborate cross functionally with Data Engineering, Backend, and Product teams to integrate ML capabilities
- Mentor and guide ML engineers and researchers
- Oversee release and validation processes for ML components within larger system releases
- Contribute to and review production level code in Python
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or related field
- Demonstrated record of leading ML initiatives from research to production
- Experience in startups or fast paced, product centric teams is highly desirable
Full Job Posting
Overview
- We’re looking for an experienced and hands on Senior Machine Learning Engineer with deep expertise in audio and speech technologies to drive the design, development, and deployment of advanced ML models powering our data integration platform.
- This position requires a unique combination of machine learning depth, software engineering proficiency, and team work skills to deliver robust, real time, multimodal ML enrichment capabilities.
Responsibilities
- Assist ML team in developing, training, and deploying production grade models for speech to text, speaker identification, keyword spotting, language identification, and deepfake detection.
- Research and integrate transformer based and multi modal model architectures into production pipelines.
- Collaborate with platform engineers to deploy ML models via NVIDIA Triton Inference Server and ensure low latency, scalable serving.
- Design and maintain Airflow DAGs for data preprocessing, feature extraction, and model enrichment pipelines.
- Ensure continuous improvement of models through retraining, performance monitoring, and data feedback loops.
- Collaborate cross functionally with Data Engineering, Backend, and Product teams to integrate ML capabilities into the platform.
- Mentor and guide ML engineers and researchers, fostering a culture of technical rigor, creativity, and collaboration.
- Oversee release and validation processes for ML components within larger system releases.
- Contribute to and review production level code in Python (C++, Golang, Rust knowledge is beneficial).
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or related field
- Demonstrated record of leading ML initiatives from research to production.
- Experience in startups or fast paced, product centric teams is highly desirable.
Skills needed
- Speech to Text
- Pytorch
- Deep fake detection nice to have
- Audio processing
- Speaker search nice to have
- Airflow
- Kubernetes
- Machine Learning
- Python (Programming Language)
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