**Join arenaflex, a leading healthcare and retail company, in shaping the future of conversational AI and machine learning operations. As an Experienced Full Stack Software Engineer, you will play a crucial role in driving the development and implementation of cutting-edge AI and NLP models that enhance customer experiences and drive business growth.**
**About arenaflex**
arenaflex is a pioneering healthcare and retail company that has been serving communities for over a century. With a rich history dating back to 1901, we have grown to become a leading provider of healthcare and retail services, with a strong presence in the US and a commitment to making a positive impact on people's lives. Our mission is to make more joyful lives through better health, and we are dedicated to delivering exceptional customer experiences through innovative technology and personalized services.
**Job Summary**
As an Experienced Full Stack Software Engineer in our Conversational AI and Machine Learning Operations team, you will be responsible for designing, developing, and deploying AI and NLP models that drive business growth and enhance customer experiences. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop and implement AI-powered solutions that meet the needs of our customers and stakeholders.
**Key Responsibilities**
* Drive the coordination and democratization of new technologies that acquire speed and productivity in data analysis methods
* Enhance models for deployment on cloud platforms and embedded systems
* Plan and develop AI models using the latest advancements, with a focus on healthcare-related knowledge
* Work on NLP and AI engineering design, testing, QA, and improving existing AI models
* Maintain model variants and metadata
* Develop production-level code for AI infrastructure (data pipelines, testing frameworks, model management, MLOPS)
* Upgrade models for execution and flexibility (for better latency and throughput)
* Monitor model performance, maintenance, and investigation
* Design and validation of ideas for testing the latest AI and NLP, voice handling advancements. Perform A/B testing of candidate models
* Work with software engineers and data scientists to integrate ML models into production systems on the cloud and in embedded systems
* Stay up-to-date with the latest advancements in AI and related fields
* Uphold all endeavors in the Center of Excellence and contribute to high-impact issues
* Execute effective training methodologies and integrate models into production systems
**Essential Qualifications**
* Bachelor's degree in Computer Science, Linguistics, or related field
* At least 2+ years of experience in discourse recognition, or High School diploma/GED and no less than 5 years of experience in discourse recognition
* 2+ years of industry experience in AI and NLP
* Mastery in programming languages such as SQL, Python, deep learning, PyTorch, TensorFlow
* Automated deployment of trained AI models on cloud platforms
* Experience in discourse handling, NLP, voice to text handling, speaker ID, discourse sentiment handling, and interpretation
* At least 1 year of direct leadership, indirect leadership, or potentially cross-functional team leadership
* Ability to travel up to/no less than 10% of the ideal time for business purposes (within state and out of state)
**Preferred Qualifications**
* Master's degree, Graduate degree, or Ph.D. in Software Engineering, Linguistics, or related field
* Experience in research, representation, and understanding of model results
* Experience with subtlety discourse recognition software, discourse fusion software, and voice biometrics software
* Working with cloud platforms like Azure and Google Cloud/Google Cloud Platform. MLOps-related experience for production workflow
* Familiar or conversant in Spanish
* Experience with retail or potentially the healthcare industry
* Team Management
**Top 10 Interview Questions**
* Can you tell us about yourself?
* What interests you about this position?
* What are your strengths?
* What are your weaknesses?
* Can you give an example of a time when you solved a problem creatively?
* How do you handle stress and pressure?
* How would you describe your work style?
* Can you tell us about a time when you had to work with a difficult colleague or supervisor?
* How do you stay organized and prioritize tasks?
* What are your long-term career goals?
**Document Required**
* Required Documents for This Recruitment: The candidate should have this Document Before Apply Online. Candidates Are Suggested To Read the Official Notification Before Applying.
* Document: Qualifications certificate with mark sheets.
* Passport size Photographs
* Signature
**How to Apply**
* All the eligible candidates can apply for This Job as mentioned below
* Read the official notification carefully From the Official Website.
* Read the Notification Carefully Before Applying.
* Fill out The Application Form (The link Is Given Below)
* Attach the Required Document and Passport Size Photo with Signature.
* Then Submit. Done.
Apply Job!
**Benefits and Perks**
arenaflex offers a comprehensive benefits package, including:
* Competitive salary
* Comprehensive health insurance
* Retirement savings plan
* Paid time off
* Professional development opportunities
* Flexible work arrangements
* Recognition and rewards for outstanding performance
**Equal Employment Opportunity**
arenaflex is an equal employment opportunity employer, committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds, including individuals with disabilities and veterans.
**How to Apply**
If you are a motivated and experienced software engineer with a passion for conversational AI and machine learning operations, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any relevant documents, through the link below.
Apply Job!
**Contact Us**
If you have any questions or would like to learn more about this opportunity, please contact our recruitment team at [insert contact email or phone number]. We look forward to hearing from you!
Apply for this job