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.