ML Engineer

Eqvilent
Anywhere
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Attention to details","Analytical skills","Problem-solving","Composed","Thoroughness"]

Develop and maintain data pipelines to train and evaluate machine learning models, improving accuracy and performance through exploratory data analysis. Run experiments and model evaluations to diagnose and fix issues, while diving deep into code and details to ensure high-quality ML workflows. Join a remote team working with cutting-edge hardware and technology, collaborating with international professionals and using a process focused on careful, composed engineering.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Eqvilent
Eqvilent
3 years ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Develop and maintain data pipelines to train and evaluate machine learning models, improving accuracy and performance through exploratory data analysis. Run experiments and model evaluations to diagnose and fix issues, while diving deep into code and details to ensure high-quality ML workflows. Join a remote team working with cutting-edge hardware and technology, collaborating with international professionals and using a process focused on careful, composed engineering.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and maintain data pipelines for training and evaluating models.
  • •Perform exploratory data analysis to enhance model accuracy and performance.
  • •Conduct experiments and evaluations of machine learning models to identify and address issues.
  • •Improve ML model workflows through careful code review and detail-oriented development.
  • •Support an ML validation system for data and models.

Pay and Benefits

Perks:Paid LeaveAnnual Bonus

Key Requirements

  • •Strong experience in machine learning.
  • •Experience developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation.
  • •Ability to carry out exploratory data analysis to improve model accuracy and performance.
  • •Strong analytical and problem-solving skills with strong attention to details.
  • •Ability to carefully dive into code and not rush through tasks.
Experience:Machine learning
Skills:Attention to detailsAnalytical skillsProblem-solvingComposedThoroughness

Company Brief

Eqvilent
Eqvilent is a digital media and creative services firm that delivers branding, web design, and marketing solutions to businesses. They focus on visual identity, user-centered web experiences, and digital content to help clients engage audiences and grow their brands.
Industry: Professional Services
Website