Machine Learning Architect

3 weeks ago

Dallas, United States Apolis Full time

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).

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