We are looking for Advanced Machine Learning Engineer - Remote / Telecommute for our client in Toronto, ON Job Title: Advanced Machine Learning Engineer - Remote / Telecommute Job Location: Toronto, ON Job Type: Contract Job Description: • Collaborate with colleagues across multiple teams (Data Science and Data Engineering) on unique machine learning system challenges at scale. • Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space. • Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks. • Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs. • Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring. • Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. • Build Deep Learning models and algorithms with optimal parallelism and performance on CP GPUs. • MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields. • 3+ years of industry experience with Python in a programming intensive role. • 2+ years of experience with 1+ of the following machine learning topics. • Classification, clustering, optimization, recommendation system, graph mining, deep learning. • 3+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc. • 3+ years of industry experience with popular ML frameworks such as Spark MLlib, Keras, TensorFlow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc). • 3+ years of industry experience with major cloud computing services. • Background or experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML. • Prior experience in building data products and establishing a track record of innovation would be a big plus. Qualifications: • Proficient Python/PySpark coding experience. • Proficient in containerization services. • Proficient in Azure ML to deploy the models. • Experience with working in CICD framework. • Motivation to make downstream modelers work smoother

Advanced Machine Learning Engineer - Remote / Telecommute

CYNET SYSTEMS