Hirejobs Canada
Register
Auckland Jobs
Canterbury Jobs
Northland Jobs
Otago Jobs
Southland Jobs
Tasman Jobs
Wellington Jobs
West Coast Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Machine Learning Engineer- Senior - Jobs in Toronto, Ontario, M5A 3N7

Zortech Solutions
Job LocationToronto, Ontario, M5A 3N7
EducationNot Mentioned
Salary$65-70 / Hourly
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Hi,Hope you are doing Great!!This side Priya Rajput from Zortech Solutions trying to reach you for an exciting job opening, kindly have a look to job description and revert me with your positive feedback. My mail ID is priya@zortechsolutions.ca or call me on +1 (647) 905-8197.Role: Machine Learning Engineer- SeniorLocation: Toronto, ON (Hybrid- 3 days in office)Duration: Long Term ContractNote: - Please fill the required Skill matrix (attached excel sheet).Note: - This is Government project, Need only Permanent Resident and Candidan Citizen for this role.Must Have:

  • 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.
Skills: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.
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 algorithmsGeneral 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.quot;L!-CEIPAL quot;

APPLY NOW

Machine Learning Engineer- Senior Related Jobs

© 2021 HireJobsCanada All Rights Reserved