About the Machine Learning ML Engineer Role at Robert Half

Robert Half is a global leader in professional services, and we're excited to bring on a talented Machine Learning ML Engineer to our innovative team in Coral Gables, Florida. This full-time position offers the chance to tackle complex technical challenges, develop groundbreaking features, and enhance products across multiple platforms. As an ML Engineer, you'll play a pivotal role in leveraging artificial intelligence and machine learning to drive business success, working on everything from predictive models to intelligent automation systems. Join us to contribute to high-impact projects in a dynamic environment where your expertise in ML can make a real difference.

Coral Gables, known as 'The City Beautiful,' provides an ideal backdrop with its vibrant tech scene, proximity to Miami's innovation hub, and exceptional quality of life. You'll collaborate with top-tier professionals in product, design, operations, and infrastructure teams, using the latest tools to build scalable ML solutions that power our clients' success.

Key Responsibilities

• Collaborate closely with cross-functional teams including product managers, designers, operations, and infrastructure experts to create innovative, ML-powered application experiences that delight users and solve real-world problems.
• Implement custom user interfaces and ML models using the latest programming techniques, frameworks like TensorFlow or PyTorch, and modern web technologies to ensure seamless front-end to back-end integration.
• Develop reusable software components and ML pipelines that interface efficiently with back-end platforms, enabling rapid iteration and deployment of intelligent features.
• Analyze and optimize codebases for machine learning models, focusing on quality, computational efficiency, and peak performance to handle large-scale data processing.
• Lead complex technical or product initiatives in machine learning, providing expert guidance to peers and mentoring junior engineers on best practices.
• Architect efficient and scalable systems that underpin complex ML applications, ensuring robustness, reliability, and the ability to scale with growing data volumes.
• Proactively identify and resolve performance bottlenecks, scalability issues, and potential failure points in ML workflows and production environments.
• Work proficiently across a variety of coding languages (Python, Java, C++), ML libraries, cloud services, and emerging technologies to deliver versatile solutions.
• Take full ownership of key ML components, features, or entire systems, maintaining expert end-to-end understanding from data ingestion to model serving.

Required Qualifications for Machine Learning ML Engineers

To thrive in this role, candidates should bring a strong foundation in machine learning engineering combined with practical experience in software development. We're seeking professionals who are passionate about AI innovation and ready to elevate their career at Robert Half.

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related quantitative field.
• At least 3-5 years of hands-on experience as an ML Engineer or similar role, with a proven track record of deploying ML models in production.
• Deep proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras; experience with deep learning techniques is highly preferred.
• Strong skills in data analysis, preprocessing, feature engineering, model training, evaluation, and deployment using tools like Pandas, NumPy, and MLflow.
• Demonstrated expertise in architecting scalable ML systems, including experience with cloud platforms (AWS SageMaker, Google AI Platform, Azure ML) and containerization (Docker, Kubernetes).
• Excellent problem-solving abilities, with a keen eye for code quality, efficiency, and performance optimization in resource-constrained environments.
• Proven experience collaborating in agile cross-functional teams, communicating technical concepts to non-technical stakeholders.
• Familiarity with version control (Git), CI/CD pipelines, and monitoring tools for ML models in production.

Bonus points for experience in natural language processing (NLP), computer vision, reinforcement learning, or big data technologies like Spark and Hadoop.

Why Join Robert Half as an ML Engineer?

At Robert Half, we invest in our people and their growth. Enjoy a competitive salary range of $140,000 - $200,000 annually (based on experience), plus performance bonuses. Our comprehensive benefits package includes health, dental, and vision insurance; 401(k) with matching; generous PTO; and flexible hybrid work options in beautiful Coral Gables, FL.

Work on cutting-edge ML projects with the freedom to innovate, access to state-of-the-art tools, and endless opportunities for professional development through training, conferences, and tuition reimbursement. Be part of a collaborative culture that values diversity, work-life balance, and real impact. Robert Half is committed to equal opportunity employment.

Ready to advance your machine learning career? Apply now and help shape the future of technology at Robert Half!