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Experienced Full Stack Software Engineer – Conversational AI and Machine Learning Operations

Work from home Full-time role Hiring

Are you a skilled software engineer with a passion for conversational AI and machine learning operations? Do you want to join a dynamic team that's revolutionizing the way people interact with technology? Look no further than arenaflex, a leading healthcare and retail company that's committed to making a positive impact on people's lives.

About arenaflex

arenaflex is a global leader in the healthcare and retail industries, with a rich history dating back to 1901. Our company was founded on the principles of innovation, customer-centricity, and community involvement. Today, we operate over 9,000 stores across the United States, Puerto Rico, and the U.S. Virgin Islands, serving nearly 10 million customers every day. Our mission is to make a positive impact on people's lives through better health and wellness.

Job Summary

We're seeking an experienced full stack software engineer to join our conversational AI and machine learning operations team. As a key member of our team, you'll be responsible for designing, developing, and deploying AI models that drive business outcomes across our organization. You'll work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality solutions that meet our customers' needs.

Key Responsibilities

* Design and develop AI models using the latest advancements in machine learning and natural language processing (NLP)

  • Collaborate with data scientists and software engineers to integrate AI models into our production systems
  • Develop and maintain high-quality software code using languages such as Python, SQL, and PyTorch
  • Work with cloud platforms like Azure and Google Cloud to deploy and manage AI models
  • Conduct A/B testing and experimentation to optimize AI model performance
  • Stay up-to-date with the latest advancements in AI and related fields
  • Participate in code reviews and contribute to the development of best practices for AI development
  • Collaborate with stakeholders to identify business needs and develop solutions that meet those needs

Essential Qualifications

* Bachelor's degree in Computer Science, Engineering, or related field

  • At least 2 years of experience in AI and NLP, with a focus on conversational AI
  • Strong programming skills in languages such as Python, SQL, and PyTorch
  • Experience with cloud platforms like Azure and Google Cloud
  • Familiarity with MLOps and DevOps practices
  • Strong problem-solving skills and attention to detail
  • Excellent communication and collaboration skills

Preferred Qualifications

* Master's degree or Ph.D. in Computer Science, Engineering, or related field

  • Experience with NLP and voice biometrics
  • Familiarity with retail or healthcare industries
  • Experience with group management and leadership
  • Fluency in Spanish or other languages

Work Environment and Culture

arenaflex is a dynamic and inclusive company that values diversity, equity, and inclusion. We offer a collaborative work environment that encourages creativity, innovation, and continuous learning. Our team members are passionate about making a positive impact on people's lives, and we're committed to creating a workplace that's supportive, flexible, and fun.

Compensation and Benefits

arenaflex offers a competitive salary range of $35-$40 per year, plus a comprehensive benefits package that includes health insurance, retirement savings, and paid time off. We also offer opportunities for professional growth and development, including training programs, mentorship, and career advancement opportunities.

How to Apply

If you're a motivated and talented software engineer with a passion for conversational AI and machine learning operations, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant documents to our online application portal. We can't wait to hear from you!

Apply Now!

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