Senior Machine Learning Engineer

• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.

• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.

• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.

• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.

• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.

• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.

• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.

• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.

• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.

• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability. Requirements * Minimum of 5 years of experience in developing and deploying machine learning solutions at scale.

• Proficiency in Python and its machine learning libraries, including TensorFlow, PyTorch, and scikit-learn.

• Strong knowledge of machine learning fundamentals, statistical modeling, and feature engineering.

• Experience with cloud platforms like AWS and containerization tools such as Docker.

• Familiarity with MLOps practices, including CI/CD pipelines and automated testing.

• Ability to handle large datasets and write complex queries using modern data processing frameworks.

• Expertise in natural language processing, computer vision, and statistical language models.

• Strong problem-solving skills and ability to design efficient machine learning solutions for real-world applications. Technology Doesn't Change the World, People Do.®, All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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