AI Engineer
Role details
Job location
Tech stack
Job description
We are seeking an AI/ML Engineer to build, deploy, and scale machine learning models that drive real-world business solutions. This role focuses on taking models from development to production., * Design, build, and deploy machine learning models in production environments
- Develop and manage data pipelines to support model training and inference
- Collaborate with data scientists, engineers, and business stakeholders
- Optimize model performance, scalability, and reliability
- Monitor deployed models and continuously improve performance
- Implement best practices for versioning, testing, and model lifecycle management
- Work with large and complex datasets to extract meaningful insights
Requirements
- Strong programming experience in Python
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, or similar)
- Experience deploying ML models into production environments
- Solid understanding of machine learning concepts and workflows, * Experience with cloud platforms (Azure ML, AWS SageMaker, or similar)
- Familiarity with big data tools (Databricks, Spark)
- Experience with MLOps practices and tools
This role is ideal for someone who enjoys bridging the gap between data science and engineering, and bringing machine learning solutions into real-world applications., 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.
Benefits & conditions
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