Senior service / programming Tech.De : Tremblay Fire Solutions Ltd.ACAIPublié : 31 mai 2024Expire : 30 août 2024Tremblay Fire Solutions Ltd.
Established in 2008, and is an Authorized AUTOCALL Dealer.We s...Show moreLast updated: 30+ days ago
Programmer Assistant
York UniversityOntario, Canada
CA$19.00–CA$24.50 hourly
The Programmer Assistant is responsible for writing, testing and troubleshooting program code for variety of computer applications.
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HVAC System Programmer
RegulvarOntario, Ontario, Canada
CA$30.00 hourly
Would you like to work on large-scale HVAC projects and thrive alongside building automation specialists? We have a job that matches your ambitions.
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Strategy Recruitment GroupNewmarket, Canada, CA
Full-time
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machinist, CNC (computer numerical control)
ADJ Industries IncON, CA
CA$20.00–CA$34.00 hourly
Permanent
Hours : 40 to 60 hours per week.Education : College, CEGEP or other non-university certificate or diploma from a program of 3 months to less than 1 year.
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Senior Unity Engineer
Big Viking GamesON, CA
Remote
Full-time
Quick Apply
While we recognize there is talent all over the world, we can only consider Canadian residents at this time.We will be prioritizing talent located in Ontario first, as it fits the needs of our orga...Show moreLast updated: 30+ days ago
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Oho GroupTucker,Ontario,Canada
CA$130,000.00–CA$170,000.00 yearly
Full-time
Quick Apply
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Promoted
Computer programming Private Tutoring Jobs Durham
SuperprofDurham, Canada
CA$80.00 hourly
Full-time +1
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Computer System Validation (CSV) Specialist
Innomar StrategiesRemote, ON
CA$150,000.00 yearly
Remote
Full-time
Our team members are at the heart of everything we do.At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on ...Show moreLast updated: 30+ days ago
Promoted
chief financial officer (CFO) - financial, communications and other business services
Government of Canada - CentralGolden Horseshoe, ON, Canada
Full-time
Work must be completed at the physical location.There is no option to work remotely.Allocate material, human and financial resources to implement organizational policies and programs.Authorize and ...Show moreLast updated: 30+ days ago
Organization : Government Services Integration Cluster
Ministry : Ministry of Public and Business Service Delivery (former MGCS)
Business Days : 250.00
Hybrid : 3 Days onsite / 2 days remote
Must Haves :
Deep Understanding of Machine Learning Concepts : Proficiency in fundamental machine learning concepts, algorithms, and techniques.
Expertise in Natural Language Processing (NLP) : Knowledge of NLP techniques and models, especially BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding.
Experience with Deep Learning Frameworks : Proficiency in deep learning libraries such as TensorFlow or PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial.
Data Preprocessing Skills : Ability to perform text preprocessing, tokenization, and understanding of word embeddings.
Programming Skills : Strong programming skills in Python, including experience with libraries like NumPy, Pandas, and Scikit-learn.
Model Optimization and Tuning : Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.
Understanding of Transfer Learning : Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.
Description
Responsibilities :
Creates machine learning models and utilizes data to train models Focuses on analyzing data to find relations between the input and the desired output Understands business objectives and develops models that help achieve them, along with metrics to track their progress Designs and develops machine learning and deep learning systems Runs machine learning tests and experiments Implements appropriate machine learning algorithms
General Skills :
Experience managing available resources such as hardware, data, and personnel so that deadlines are met Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability Experience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Experience verifying data quality, and / or ensuring it via data cleaning Experience supervising the data acquisition process if more data is needed Experience finding available datasets online that could be used for training Experience defining validation strategies Experience defining the preprocessing or feature engineering to be done on a given dataset Background in statistics and computer programming A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience
Experience and Skill Set Requirements
15%) Deep Understanding of Machine Learning Concepts : Proficiency in fundamental machine learning concepts, algorithms, and techniques.
Expertise in Natural Language Processing (NLP) : Knowledge of NLP techniques and models, especially BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding.
20%) Experience with Deep Learning Frameworks : Proficiency in deep learning libraries such as TensorFlow or PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial.
30%)Data Preprocessing Skills : Ability to perform text preprocessing, tokenization, and understanding of word embeddings.
Programming Skills : Strong programming skills in Python, including experience with libraries like NumPy, Pandas, and Scikit-learn.
20%) Model Optimization and Tuning : Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.
15%) Understanding of Transfer Learning : Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.