Description

The AI/ML Solutions Architect will lead the design, development, and deployment of advanced AI/ML solutions. This role combines deep technical expertise with strategic thinking to ensure AI/ML initiatives are successfully integrated into business operations. You will work closely with data scientists, engineers, and stakeholders to create architectures that maximize performance, scalability, and reliability.

Key Responsibilities:

• Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring.

• Collaborate with stakeholders to define AI/ML solution requirements aligned with business objectives.

• Provide technical leadership and guidance to teams implementing AI/ML models and systems.

• Develop scalable and secure solutions using cloud platforms (AWS, Azure, GCP) and MLOps best practices.

• Ensure seamless integration of AI/ML models into existing IT systems and workflows.

• Conduct feasibility studies, prototyping, and performance evaluations for new technologies and frameworks.

• Stay updated on advancements in AI/ML and recommend innovative solutions to meet emerging needs.

• Document technical designs, workflows, and implementation plans to ensure clarity and reproducibility.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

• 5+ years of experience in AI/ML, software architecture, or cloud solutions engineering.

• Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).

• Expertise in MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).

• Hands-on experience with big data tools and frameworks (e.g., Apache Spark, Hadoop).

• Strong programming skills in Python, Java, or similar languages.

• Proficiency with cloud platforms (AWS SageMaker, GCP AI Platform, or Azure ML).

• Familiarity with API development and microservices architectures.

• Excellent problem-solving, communication, and stakeholder management skills.

  Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

• 5+ years of experience in AI/ML, software architecture, or cloud solutions engineering.

• Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).

• Expertise in MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).

• Hands-on experience with big data tools and frameworks (e.g., Apache Spark, Hadoop).

• Strong programming skills in Python, Java, or similar languages.

• Proficiency with cloud platforms (AWS SageMaker, GCP AI Platform, or Azure ML).

• Familiarity with API development and microservices architectures.

• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications:

• Certifications in cloud technologies (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).

• Experience with AI governance, ethical AI practices, and model interpretability tools (e.g., SHAP, Fairlearn).

• Familiarity with Natural Language Processing (NLP) or Computer Vision frameworks.

• Knowledge of edge computing and deploying AI/ML models on IoT devices.

• Exposure to CI/CD pipelines for AI/ML projects.

  Technology Doesn't Change the World, People Do.®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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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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