Role: Machine Learning Architect Work location: Dallas (US:75201), TX This position is On Site.
Job Description The Machine Learning Architect is a technical leader responsible for designing, building, and maintaining scalable, high-performing machine learning (Client) systems. This role bridges the gap between business needs and technical feasibility, ensuring Client initiatives align with overall company strategy. Responsibilities: • Design and develop the architecture for Client platforms and solutions. • Select and implement appropriate Client algorithms and tools based on business requirements and data characteristics. • Collaborate with data scientists, data engineers, and software engineers to ensure the successful integration of Client models into production systems. • Oversee data pipelines and ensure data quality for training and deploying Client models. • Monitor and evaluate the performance of Client models, identifying opportunities for improvement and retraining. • Stay up-to-date on the latest advancements in Client research and best practices. • Develop and implement strategies for managing model bias and ensuring the ethical use of AI. • Communicate complex technical concepts to both technical and non-technical stakeholders. • Mentor and guide junior team members on Client architecture best practices. Qualifications: • Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). • Strong understanding of machine learning concepts, algorithms, and frameworks. • Experience designing and developing scalable, distributed systems. • Experience with cloud platforms (AWS, Azure, GCP) is a plus. • Excellent communication and collaboration skills. • Proven ability to translate business goals into technical requirements. • Experience working in an Agile development environment is a plus.
Tools and Technologies (possible, depending on the company): • Python (Scikit-learn, TensorFlow, PyTorch) • Machine Learning Platforms (AWS SageMaker, Azure Machine Learning, Google AI Platform) • Cloud Computing Technologies (AWS, Azure, GCP) • Docker, Kubernetes • DevOps Tools (Git, Jenkins, CI/CD pipelines).
Seniority level
Entry level
Employment type
Other
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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