Interview: F2F Visa: All except H1b Hybrid: Brooklyn, NY (must be local with linkedin)

JD: Must-Have Qualifications:

Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Minimum of 3 years of experience in AI/ML engineering with a focus on infrastructure, MLOps, and cloud AI deployment. Proven experience configuring and setting up ML platforms both on-premises and in cloud environments, particularly Oracle Cloud. Strong expertise in Linux-based AI/ML environments, including performance optimization, package management, shell scripting, and system troubleshooting. Extensive experience working with HPC environments and GPU clusters (e.g., H100, A100, or similar) for large-scale distributed AI workloads. Proficient in Python programming, with hands-on experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar. Hands-on experience with MLOps, including model training, validation, deployment, and ongoing monitoring. Proven ability to integrate AI/ML models into business intelligence platforms such as Power BI, Oracle Analytics, or through APIs. Experience working with high-speed networking, storage solutions, and tuning AI/ML system performance for optimal results.