Machine Learning Engineer
Phoenix, AZ (On-Site)
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