Machine Learning (AI) Engineer (Hybrid)

* **Role**: Machine Learning (AI) Engineer (Hybrid) * **Location**: Remote * **Job** **Type**: Full-Time * **Payout**: $200K - $500K/yr **Role Overview:** We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency. **Key Responsibilities:** • Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch frameworks. • Develop and maintain data pipelines to ensure high-quality input for model training and evaluation. • Implement MLOps practices to streamline model deployment, monitoring, and version control. • Collaborate with data scientists and software engineers to integrate AI capabilities into production systems. • Conduct performance benchmarking and A/B testing to validate model accuracy and business impact. **Required Skills \& Qualifications:** • Proficiency in Python, TensorFlow, and PyTorch for model development and training. • Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for deployment and monitoring. • Strong background in data preprocessing, feature engineering, and model evaluation metrics. • Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure. • Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines. **More About the Opportunity:** This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets. **Equal Opportunity Employer:** We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. **Apply Now!**