Machine Learning Engineer

We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real-world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment., * Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases

• Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion
• Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC
• Optimize models for performance, speed, reliability, and scalability
• Collaborate with cross-functional teams to support data-driven solutions

Required Skills & Qualifications

• Strong proficiency in Python, including PySpark
• Solid understanding of software architecture principles
• Hands-on experience with machine learning frameworks such as Scikit-learn
• Strong foundation in statistics, probability, and algorithm design
• Experience with SQL, data modeling, and building data pipelines

Nice to Have

• Experience deploying machine learning models using Docker or similar tools (MLOps)
• Familiarity with deploying and working with local large language models (LLMs), 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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