Machine Learning Engineer

Kitchener, Ontario, Canada,

Kitchener

Job posted on : 2024-11-21
 

Job details

  Sector : Automotive
  Specialty : Serv. - Mechanic/Apprentice
  Schedule : To be determined
  Job type : Permanent
  Salary :
  Spoken language(s) :
  Written language(s) :

Job description

About Acerta:

Acerta helps manufacturers optimize the quality, safety, and reliability of the products they make. Our machine-learning solutions use industrial data to deliver valuable insights that improve the entire product lifecycle-resulting in greater efficiency and satisfied customers.

Job Summary:

As an integral part of the Machine Learning & Data Science team at Acerta, you will productize, deploy, maintain, and monitor machine learning models running behind Acerta's LinePulse and Professional Services. If you're ready to make a huge difference in the automotive and off-highway industries, come join our team.
 

  • Product Development and Deployment: Own significant product requirements and drive them from development to deployment.
  • Model Monitoring and Tuning: Tune and monitor machine learning models deployed for customers.
  • Research and Application: Research and apply state-of-the-art techniques in model interpretation and explainability.
  • Package Development: Contribute to package development in Acerta's codebase.


Requirements:
 

  • Python Experience: Minimum of 3 - 5 years of experience using Python.
  • Production Deployment: Experience with deploying data science solutions to production.
  • Technical Skills: Proficiency with Docker, Kubernetes, and non-relational databases.
  • Agile Environment: Ability to work in a fast-paced agile environment.
  • Team Collaboration: Experience using Git in a team environment.
  • Adaptability: Flexibility to adjust to changing priorities, requirements, and schedules.
  • Remote Work: Familiarity with working on remote Linux instances.


Key Competencies:
 

  • Agile Environment: Ability to work in a fast-paced agile environment.
  • Action-Oriented: Proactive in taking initiatives and driving results.
  • Collaborative: Strong team player who works well with others.
  • Customer-Focused: Dedicated to meeting the expectations and requirements of internal and external customers.
  • Detail-Oriented: High attention to detail and accuracy.
  • Analytical Skills: Excellent analytical and problem-solving skills.
  • Experience with Time-Series Data: Familiarity with time-series and operations data.
  • Adaptability: Flexibility to adjust to changing priorities, requirements, and schedules.
  • Influence Without Authority: Ability to influence others without direct authority.
  • Innovation: Creative in finding solutions and improving processes.
  • Pragmatism: Practical approach to solving problems.
  • Problem Solving: Effective at identifying problems and developing solutions.
  • Process-Minded: Focused on improving processes for better efficiency and effectiveness.
  • Resourcefulness: Ability to find quick and clever ways to overcome difficulties.
  • Communication Skills: Strong oral and written communication skills.


Why Join Acerta?
 

  • Innovative Environment: Be part of a cutting-edge company revolutionizing the automotive industry with AI and machine learning.
  • Professional Growth: Continuous learning and development opportunities.
  • Dynamic Team: Collaborate with a high-performing, innovative team.
  • Remote Work Flexibility: Enjoy the flexibility of remote work.
  • Comprehensive Benefits: Excellent health and wellness benefits.
  • Competitive Compensation: Attractive salary package with bonuses and stock options.


If you are passionate about Machine Learning and eager to contribute to Acerta's mission, we invite you to apply for this exciting opportunity. Join Acerta in shaping the future of automotive intelligence!

Acerta Analytics Solutions Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

www.acerta.ai | LinkedIn | Twitter

Training

 

If you have any questions, comments or concerns, please call our Customer Service at (514) 321-2888 Call Now: (514) 321-2888