ML Engineer at Bedge
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

24 Nov, 25

Salary

95879.26

Posted On

24 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

R, Java, Vision Insurance, Python, Languages, Machine Learning, Technology, Health Insurance

Industry

Computer Software/Engineering

Description

JOB SUMMARY

We are seeking a talented and innovative AI/ML Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing machine learning models and algorithms that drive our AI initiatives. This role requires a strong foundation in machine learning principles, programming skills, and a passion for exploring cutting-edge technologies, including quantum engineering. You will collaborate with cross-functional teams to solve complex problems and enhance our product offerings through intelligent solutions.

EXPERIENCE

  • Proven experience in developing machine learning models using languages such as Python, R, or Java.
  • Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with quantum computing concepts and their application in machine learning is highly desirable.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Ability to work collaboratively in a fast-paced environment while managing multiple projects simultaneously.
  • Excellent problem-solving skills with a focus on innovative solutions. Join us in pushing the boundaries of technology as we harness the power of AI and quantum engineering!
    Job Types: Full-time, Contract
    Pay: $95,879.26 - $115,467.49 per year

Benefits:

  • 401(k)
  • Health insurance
  • Vision insurance

Work Location: Remot

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Design and develop machine learning models to address various business challenges.
  • Collaborate with data scientists and software engineers to integrate AI solutions into applications.
  • Conduct experiments to evaluate model performance and optimize algorithms for efficiency.
  • Utilize quantum engineering principles to explore new avenues for enhancing machine learning capabilities.
  • Analyze large datasets to extract meaningful insights and drive data-informed decision-making.
  • Stay updated with the latest advancements in AI/ML technologies and methodologies.
  • Document processes, model architectures, and findings to ensure knowledge sharing within the team.
Loading...