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Day 2
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From 4,296 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Design and iterate on neural network architectures in PyTorch
Train, validate, and fine-tune models for accuracy and robustness
Troubleshoot model performance and iterate on techniques to improve results
Analyze how models map onto client devices via compilation steps and kernels
Deploy neural networks across different environments
Design, implement, and iterate on neural network architectures using PyTorch
Train, validate, and fine-tune machine learning models using relevant datasets
Investigate and troubleshoot model performance issues
Analyze how models map onto the client's devices through compilation steps and kernels
Deploy neural networks for various applications across different environments
3+ years of experience in Python programming
hands-on expertise in PyTorch for developing and training deep learning models
Proficiency in designing, training, and deploying neural networks for various applications
Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques
English proficiency at B2 level or higher
Familiarity with C++ and kernel programming
Knowledge of GPU/AI-accelerator architectures
We are looking for a Senior AI/ML Engineer to join the ML & AI team, driving the design, training, and deployment of advanced deep learning models. Responsibilities Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness Investigate and troubleshoot model performance issues, and iterate on models and techniques to continuously improve results Analyze how models map onto the client's devices through compilation steps and kernels Identify gaps in functionality and performance, and propose innovative solutions to mitigate any issues Deploy neural networks for various applications across different environments Apply machine learning fundamentals to ensure effective supervised and unsupervised learning outcomes Requirements 3+ years of experience in Python programming, with hands-on expertise in PyTorch for developing and training deep learning models Proficiency in designing, training, and deploying neural networks for various applications Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques Expertise in troubleshooting and optimizing model performance across diverse tasks and datasets English proficiency at B2 level or higher Nice to have Familiarity with C++ and kernel programming Knowledge of GPU/AI-accelerator architectures
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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Day 2
Early. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
656 open jobs
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Yes. We’ve followed one other Senior AI/ML Engineer with PyTorch, С++ job there since November 2026. It is still up.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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