Switzerland Global Enterprise

AI Design Engineer

Switzerland Global Enterprise

full-time

Posted on:

Location Type: Remote

Location: Remote • North Carolina • 🇺🇸 United States

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Salary

💰 $99,000 - $140,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudNoSQLPythonSDLCSQL

About the role

  • Develop custom tools and utilities to enhance the generative AI pipeline
  • Streamline repetitive tasks by automating processes, improving efficiency, and reducing manual intervention
  • Collaborate with QA engineers to design comprehensive test suites for the generative AI models
  • Write unit tests to validate individual components, ensuring robustness and reliability
  • Work closely with data scientists to create diverse and effective prompts for the generative models
  • Participate in prompt fine-tuning experiments to improve model performance
  • Integrate generative AI models into existing applications and services via APIs
  • Ensure seamless deployment across various platforms, including cloud environments
  • Collaborate with data engineers, DevOps, and product teams to align project goals
  • Maintain clear and concise documentation for tools, APIs, and integration procedures

Requirements

  • Bachelor's Degree in Computer Science, Data Science, or related quantitative field
  • Minimum 5 years of experience in AI Data Science
  • Strong proficiency in Python
  • Strong understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design
  • Deep expertise in model development, pre-training, and implementation of AI algorithms—including vision AI, predictive analytics, LLM-based applications, and anomaly detection
  • Familiarity with cloud AI platforms, and experience with MLOps pipelines are essential
  • Experience with SQL and working with relational and/or NoSQL databases
  • Experience using modern development tooling such as Git and testing frameworks
  • General understanding of the impacts of technology choice to the software development life cycle
  • Aware of methods and practices such as Lean/Agile/XP, etc.
Benefits
  • Healthcare benefits include medical, dental, vision, and prescription drug coverage
  • Access to a Health Coach, a 24/7 nurse-based resource
  • Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling, and referral services
  • Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
  • Access to Fidelity resources and planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability insurance
  • Life insurance
  • Paid time-off for vacation or illness
  • Relocation Assistance Provided: Yes

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonstatistical modelingmachine learning algorithmsregressionclassificationclusteringdeep learningMLOpsSQLNoSQL
Soft skills
collaborationcommunicationdocumentationproblem-solvingefficiency improvement
Certifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Data Science