Jobs / JPM***
Executive Director Machine Learning Engineer-MLOps
JPM*** · Palo Alto, CA, United States
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Palo Alto, CA, United StatesExp: 6-10 yrs223,250-325,000 USD/yearlyRemote
Remuneration
223,250-325,000 USD/yearly
Location
Palo Alto, CA, United States
Visa sponsorship
Sponsors visa
Job summary
JPM*** is seeking a Senior MLOps Engineer to work with Data Scientists on building and deploying machine learning models. The role involves implementing algorithms, managing model serving systems, and optimizing performance in a controlled environment.
Qualifications
- BS in Computer Science or related Engineering field with 10+ years of experience or MS degree with 6+ years experience.
- Extensive experience in Python and cloud computing, particularly AWS.
- Knowledge of quantization techniques for LLMs.
- Understanding of Transformer models and their serving challenges.
- Familiarity with ML training and reinforcement learning algorithms.
- Experience in systems engineering fundamentals: caching, CUDA, autoscaling.
- Passion for data science and model deployment.
- Experience with monitoring tools for model input/output.
- Strong analytical mindset and engineering fundamentals.
Responsibilities
- Build and maintain pipelines for distributed training on GPU-enabled clusters.
- Manage real-time and batch inference systems for optimal performance.
- Implement quantization techniques and deploy large language models on serving stacks.
- Optimize vector databases for AI and machine learning applications.
- Establish monitoring and observability pipelines for system health.
- Collaborate with teams to integrate new technologies and improve infrastructure.
- Define scalable technical solutions with product and engineering teams.
Skills
AWSDockerECSKubernetesPython
Degrees
BS in Computer ScienceMS in Computer Science
Relocation
No