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

Job Description:

Are you ready to shape the future of AI and machine learning? Join our dynamic team as a Machine Learning Engineer where you'll design, deploy, and optimize cutting-edge ML solutions. We're looking for innovative thinkers passionate about leveraging traditional ML, NLP, and Generative AI to create meaningful impact.


What You'll Do

???? Model Development & Deployment: Build and deploy ML models for traditional machine learning, NLP, and Generative AI solutions.
???? MLOps Pipelines: Design and maintain MLOps pipelines for seamless model updates and deployment.
???? Stakeholder Collaboration: Translate business requirements into technical solutions that deliver real value.
???? Data Pipelines: Develop scalable pipelines for data collection, cleaning, and feature engineering.
? Best Practices: Implement coding, version control, testing, and documentation best practices.
???? Model Validation: Conduct A/B testing and automated tests to ensure model reliability and performance.
???? Innovation: Stay at the forefront of AI advancements to continuously improve and innovate solutions.
???? Mentorship: Lead code reviews and provide mentorship on machine learning best practices.


What You Bring to the Table

Essential Skills:

  • ???? Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • ???? Expertise in ML frameworks like TensorFlow, PyTorch, and scikit-learn for model training, tuning, and deployment.
  • ???? Experience building Retrieval-Augmented Generation (RAG) applications with LLMs.
  • ???? Hands-on NLP experience with tools like Hugging Face, NLTK, and SpaCy.
  • ???? Proficiency in big data technologies (PySpark) and database management (SQL/NoSQL).
  • ?? Strong experience with cloud platforms, preferably Microsoft Azure (Azure Machine Learning, Databricks, DevOps).
  • ???? Proven Python programming skills with experience in Django or Flask for RESTful APIs.
  • ???? Deep understanding of MLOps for model lifecycle management and continuous integration.

Nice-to-Have:

  • A knack for problem-solving and innovation in fast-paced environments.
  • Ability to lead complex projects independently.

Why Join Us?

???? Be part of an innovative team transforming industries with AI solutions.
???? Work with cutting-edge tools and cloud technologies.
???? Collaborative and inclusive work culture.
???? Continuous learning and career development opportunities.


???? Ready to Build the Future of Machine Learning?
We welcome all qualified candidates — equivalent skills and experience are highly valued. Apply today and let's innovate together!


Key Skills:

  • Machine Learning Engineer