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Overview:  

We are seeking a highly skilled and experienced Senior AI/ML Engineer to work with our client. This role will also be responsible for architecting an on-premises AI/ML environment, ensuring a robust and scalable MLOps pipeline, and integrating model outputs into business reporting tools such as Power BI, Oracle Analytics, or APIs. 

Duties:  

• AI/ML Infrastructure & Deployment 

• Architect and deploy an on-prem AI/ML environment, including GPU clusters and high-performance computing resources. 

• Collaborate with infrastructure teams to test and optimize networking storage and compute resources for AI workloads. 

• Implement scalable storage solutions (e.g., distributed file systems, object storage) for efficient data handling. 

• Ensure system reliability, security, and performance through best practices in Linux system administration and resource scheduling. 

• Configure AI model training and inference environments, leveraging containerization (Docker, Kubernetes) and MLOps pipelines. 

• Design and implement MLOps processes to support efficient model training, validation, deployment, and monitoring. 

• Configure and set up ML Oracle Cloud from scratch, ensuring a scalable and production-ready infrastructure. 

• Collaborate with cross-functional teams to understand data requirements and integrate AI/ML solutions into existing enterprise systems. 

• Work with developers to integrate AI model outputs into business intelligence tools such as Power BI and Oracle Analytics. 

Mandatory Qualifications:  

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. 

• 3+ years of experience in AI/ML engineering with a focus on infrastructure, MLOps, and cloud AI deployment. 

• Experience configuring and setting up ML platforms on-premises or in Oracle Cloud from scratch.  

• Strong expertise in Linux-based AI/ML environments, including performance optimization, package management, shell scripting. 

• Experience with HPC environments, GPU clusters (H100, A100, or similar), and distributed AI workloads. 

• Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. 

• Hands-on experience with MLOps, including model training, validation, deployment, and monitoring. 

• Experience integrating AI/ML models into business intelligence tools (Power BI, Oracle Analytics, or APIs). 

• Experience with high-speed networking, storage solutions, and AI/ML system performance tuning. 

• Onsite working in Downtown Brooklyn, NY.