Machine Learning Engineer
Location: On-Site, Phoenix, AZ

Job Description:

Are you a visionary technologist with a passion for solving real-world problems using cutting-edge AI and ML techniques? Do you thrive in fast-paced environments where creativity meets technical excellence? If so, we have the perfect role for you!

Join our dynamic team and be at the forefront of building next-gen NLP, Generative AI, and traditional ML solutions that redefine what's possible.


What You'll Do

???? Develop & Deploy: Design, train, and deploy state-of-the-art machine learning models for traditional ML, NLP, and Generative AI solutions.

???? MLOps Excellence: Build and maintain scalable MLOps pipelines for seamless model deployment and continuous improvements.

???? Collaborate: Work closely with stakeholders to understand requirements and turn ideas into powerful technical solutions.

???? Data Pipeline Mastery: Create robust pipelines for data collection, cleaning, and feature engineering to power intelligent solutions.

???? Test & Validate: Conduct A/B testing, automated tests, and ongoing performance monitoring for production models.

???? Innovate: Stay at the cutting edge of AI/ML trends and continuously push boundaries with creative solutions.


What We're Looking For

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Model Mastery: Extensive experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
  • RAG Expert: Experience building Retrieval-Augmented Generation (RAG) applications leveraging LLMs.
  • Big Data Wizard: Proficiency in PySpark and other distributed computing frameworks.
  • NLP Pro: Hands-on experience with Hugging Face Transformers, NLTK, SpaCy, and familiarity with Large Language Models (LLMs).
  • Data Savvy: Strong with both SQL & NoSQL databases.
  • Cloud Specialist: Hands-on experience with Azure Machine Learning, Azure Databricks, and Azure DevOps.
  • Python Expert: Skilled in Python and web frameworks like Django or Flask for API deployment.
  • MLOps Rockstar: Deep understanding of model lifecycle management, CI/CD, and continuous monitoring.
  • Problem-Solver: Strong analytical skills and the ability to tackle complex challenges independently.

Why Join Us?

???? Innovative Projects: Be part of transformative AI/ML solutions that push boundaries.
???? Impactful Work: Your contributions will shape intelligent systems used across industries.
???? Tech-First Culture: Work alongside top talent in a tech-driven environment.
???? Continuous Learning: Stay at the forefront of AI/ML through training and mentorship.
???? Collaborative Environment: Join a supportive, inclusive team where ideas thrive.


Key Skills:

  • Machine Learning Engineer