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M.L. Engineer

UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
Canada

Offer summary

Qualifications:

Master's degree in a relevant field or Bachelor’s with experience, 2+ years experience in machine learning engineering.

Key responsabilities:

  • Collaborate with data scientists to understand business needs
  • Design, develop, and optimize machine learning models
  • Deploy models and assess performance metrics
  • Stay updated with latest machine learning advancements
Sizanid logo
Sizanid Human Resources, Staffing & Recruiting Startup
2 - 10 Employees
About Sizanid
At Sizanid, we believe in the power of technology to allow businesses and jobseekers reach their fullest potential. We provide innovative, tailor-made solutions that will help employers and jobseekers navigate the ever-evolving HR landscape to find the perfect job opportunity/ candidates- no matter what stage of life they are in.
See more Sizanid offers

Job description

Logo Jobgether

Your missions

This is a remote position.

  • Work closely with data scientists and domain experts to understand business needs and translate them into technical requirements for machine learning models.
  • Acquire, clean, pre-process, and transform data for machine learning tasks.
  • Design, develop, and implement machine learning models using various algorithms (e.g., supervised learning, unsupervised learning, deep learning).
  • Train, evaluate, and optimize machine learning models to ensure accuracy, efficiency, and generalizability.
  • Develop and implement machine learning pipelines for automated training and deployment.
  • Deploy machine learning models into production environments and monitor their performance.
  • Analyze model performance metrics and identify opportunities for improvement.
  • Stay up-to-date with the latest advancements in machine learning research and tools.
  • Collaborate with engineers and other stakeholders to integrate machine learning models into existing systems and applications.
  • Communicate technical concepts effectively to both technical and non-technical audiences.

    •
    Requirements
  • Master's degree in Computer Science, Statistics, Mathematics, or a related field (or) Bachelor's degree with relevant experience.
  • Minimum of 2 years of experience in machine learning engineering or a similar role.
  • Strong understanding of machine learning algorithms and concepts (e.g., linear regression, decision trees, random forests, deep learning).
  • Proficiency in programming languages like Python (including libraries like NumPy, Pandas, TensorFlow, PyTorch).
  • Experience with cloud platforms for machine learning (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning).
  • Excellent analytical and problem-solving skills.
  • Strong communication, collaboration, and interpersonal skills.
  • Ability to work independently and as part of a team in a fast-paced environment.

    •
    Benefits

    Comprehensive benefits package (health insurance, dental insurance, vision insurance, etc.)

    Paid time off (vacation, sick leave, holidays)

    Opportunities for professional development and growth

    Collaborative and supportive work environment

    Salary:

    Varies

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    Check out the description to know which languages are mandatory.

    Hard Skills

    TensorFlow

    Soft Skills

    • verbal-communication-skills
    • collaboration
    Are you interested?

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