ML/AI Engineer/ Architect

K&K Global Talent Solutions Inc is an International recruiting agency that has been providing technical resources in the USA region since 1993. This position is with one of our clients in The USA, who is actively hiring candidates to expand their teams. Role: ML/AI Engineer/ Architect Employment type: W2 Technology: ML models, Azure, Location: Dallas, TX – 3days/week Final Onsite Interview 10 + Minimum PhD-level engineers We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team on a mission to revolutionize the audit process through cutting-edge AI technology. As a Senior ML Engineer, you will play a pivotal role in designing, implementing, and maintaining scalable machine learning models that drive our AI Agents, ensuring seamless integration within our cloud-based infrastructure. Your expertise will bridge the gap between theoretical data science and practical software engineering, enabling our AI-driven solutions to achieve unprecedented efficiency and accuracy. Key Responsibilities: - Model Deployment & Management: Deploy, monitor, and manage machine learning models within our cloud infrastructure, ensuring high availability and performance. - Collaboration & Integration: Work closely with data scientists to transition experimental models into production, optimizing them for scalability and efficiency. - Infrastructure Development: Develop and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and Azure technologies. - Continuous Improvement: Continuously evaluate existing models and infrastructure for improvements, applying the latest in machine learning research and technology. - Best Practices Implementation: Implement best practices for ML lifecycle management, including version control, testing, and deployment using tools like MLflow, Docker, and Kubernetes. - Cross-Functional Teamwork: Collaborate with product managers, full-stack engineers, and UX/UI designers to ensure the ML models are well-integrated into the product, enhancing user experience and product value. Required Skills & Qualifications: • Experience: 5+ years of experience in machine learning engineering or a similar role, with a proven track record of deploying machine learning models in a production environment. • Technical Proficiency: • Expertise in Python and SQL. • Strong experience with Docker, Kubernetes, and Azure ML or similar cloud ML services. • Familiarity with ML lifecycle tools like MLflow. • Experience with CI/CD tools for ML models, such as Azure Pipelines or GitHub Actions. • Knowledge of TensorFlow Serving, TorchServe, or similar model serving frameworks. • Problem-Solving: Exceptional problem-solving skills and the ability to work on complex systems in a fast-paced environment. • Communication: Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team