Job Opening: AI/ML Engineer – Hybrid | Phoenix, AZ Location: Phoenix, Arizona (Hybrid – 3 days onsite/week) Job Type: Contract Start Date: ASAP Duration: 6+ Months (with potential extension) About the Role: We’re seeking a highly skilled AI/ML Engineer to join our team in Phoenix, AZ. In this hybrid role, you'll work 3 days onsite each week and collaborate with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning solutions that drive impactful business outcomes. Key Responsibilities: • Design and implement machine learning models for classification, regression, clustering, NLP, and computer vision problems • Develop and maintain scalable ML pipelines for data preprocessing, training, evaluation, and deployment • Work with MLOps tools and platforms to automate model lifecycle management • Collaborate with cross-functional teams to gather requirements, validate solutions, and ensure model accuracy and performance • Utilize cloud platforms (preferably GCP, AWS, or Azure) to manage data workflows and ML infrastructure • Monitor model performance in production and retrain as necessary Required Skills & Experience: • 4+ years of hands-on experience in AI/ML Engineering • Proficient in Python, TensorFlow, PyTorch, scikit-learn, or similar frameworks • Strong understanding of machine learning algorithms and data structures • Experience with ML pipeline tools such as Kubeflow, MLflow, or SageMaker • Familiarity with cloud platforms (GCP preferred) for data storage, training, and deployment • Experience with SQL and data engineering tools (e.g., Spark, Airflow) • Strong communication and problem-solving skills Preferred Qualifications: • Experience with MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes) • Exposure to deep learning and large language models (LLMs) • Prior work in finance, healthcare, or manufacturing industries