AIML Engineer
AIML Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Position: AI/ML Engineer
Location: Brooklyn NY HYBRID 3 Days/Week
Duration: 12 months
Key Responsibilities:
- Architect and deploy an onprem AI/ML environment including GPU clusters and highperformance 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 productionready infrastructure.
- Collaborate with crossfunctional 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:
- Masters or Ph.D. in Computer Science Data Science Machine Learning or a related field At least a Masters Degree
- Certifications in Oracle Data Science Platform preferred.
- Onsite working (HYBRID) in Downtown Brooklyn NY
- 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 onpremises or in Oracle Cloud from scratch.
- Strong expertise in Linuxbased 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.
- Handson 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 highspeed networking storage solutions and AI/ML system performance tuning.
Thanks
Naveen Samilla
Momento USA Exceeding Customer Expectations
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Employment Type
Full Time
