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Full Stack eCommerce

Remote: 
Full Remote
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Offer summary

Qualifications:

3+ years of experience in AI implementation, machine learning, or data analysis., Proficiency in programming languages such as Python, R, or SQL., Strong understanding of AI models and machine learning algorithms., Bachelor’s or Master’s degree in a relevant field like Computer Science or Data Science..

Key responsabilities:

  • Implement AI solutions and machine learning models for eCommerce applications.
  • Analyze data and prepare it for model development and deployment.
  • Collaborate with cross-functional teams to integrate AI tools and systems.
  • Utilize cloud platforms for hosting and managing AI applications.

Diverse Lynx logo
Diverse Lynx Large http://www.diverselynx.com
1001 - 5000 Employees
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Job description

Full Stack eCommerce
Remote


Experience Required:

  • 3+ years of experience in AI implementation, machine learning, data analysis, or similar roles.
  • Proven experience with AI platforms, such as Logik.ai, or other enterprise-level machine learning tools.
  • Strong understanding of AI models, machine learning algorithms, data preparation, and data analytics.
  • Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus.
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and model development.
  • Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Understanding of system integration principles, APIs, and automation tools.

Certifications (Not Mandatory):

  • AI/ML certifications (e.g., TensorFlow, AWS Certified Machine Learning).
  • Certifications related to data science, AI, or analytics platforms are a plus.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field.






Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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